(Valid from 14/08/2023 to 31/12/2023)

Language: English (UK)

Location Belval

Country: Luxembourg

Organisation data: LCSB

Job Number: UOL05297

Contract Type: Fixed Term Contract

Schedule Type: Full Time

Work Hours 40.0 Hours per Week

Expected Start Date: 01/01/2023

Functions: Postdoctorant

Job (internal): Postdoctoral researcher

About us...

The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors.

The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel becausewe are truly interdisciplinary and together we contribute to science and society.

  Your Role...

The Systems Control Group seeks a highly skilled Postdoctoral Research Associate. Postdocs are expected to interact with the rest of the group, especially with PhD students and support grant writing.

The open position in part of a JPND project, funded by FNR. The project aims to enhance the outcome of Deep Brain Stimulation (DBS) in Parkinson’s disease (PD) through the individualization and optimization of stimulation settings. Our vision is to replace the current practice of selecting stimulation pulse width, amplitude, and frequency by trial and error with a model-based patient- specific calculation. This will be achieved by incorporating insights from novel clinical studies into individualized mathematical models underpinning clinically relevant DBS programming tools. The consortium is composed of neurologists, electrical and control engineers, computer scientists, movement scientists, and neurosurgeons from four European countries.

Using arange of mathematical tools, this project aims to improve our understanding of how DBS affects the brain. It combines all available datasets in the project to create models capturing patient-specific and personalized brain dynamics before and after DBS stimulation. Models will capture stimulation at a wide range of frequencies, pulse widths and amplitudes across different contact configurations. Data includes EEG, peripheral sensors (such as accelerometers), LFPs and clinical data. Changing stimulation parameters will give us a nonlinear view of changes in brain connections. This will build new hypotheses on the effect of DBS stimulation on different areas of the brain and help us predict effective stimulation parameters.

More details can be found here

  What we expect from you… Hold a Ph.D. degree in (applied or theoretical) mathematics, theoretical physics, engineering, or computer science. Candidates must have a publication record in data analysis and machine learning. Experience in computational neuroscience is a plus. Excellent working knowledge of English is required.   Here’s what awaits you at the LCSB...

• Excellent work environment with state-of-the-art infrastructure, laboratory and administrative support
• Truly connected. We work together with hospitals and research institutes on a national and international level as well as industrial partners. Connection between science and society is very important to us. From our school lab – the Scienteens Lab – to the different outreach activities and collaborative partnerships with patient associations, we love to listen to society’s needs and share our passion for science
• Be part of a multicultural team. At the LCSB we have more than 50 nationalities. Throughout the year, we organise team-building events, networking activities and more

Find out more about us!

  In Short...

• Contract type: Full contract for 1.5 years (with the possibility of renewal up to 5 years contingent on performance and availability of funding)
• Work hours: Full Time 40.0 Hours per Week
• Location: Belval
• Job reference: UOL05297

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 79095 (full time)

  How to apply...

Applications should contain the following documents:

• A detailed Curriculum Vitae and a motivation letter that includes a description of how you would contribute to the project and research group. These two documents should be emailed to Sofia Pereira (sofia.pereira@uni.lu) in a single PDF. Use the job title and reference number mentioned above in the subject line of your email. If you receive an offer, you will also need to complete the online submission at the bottom
• Please have at least three references email their confidential letters directly to Sofia Pereira (sofia.pereira@uni.lu) within two weeks after submitting the application. Without these references your application will not be processed

Early application is highly encouraged, as the applications will be processed upon reception. Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

About the University of Luxembourg...

University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and has more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science andICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

General information:

The Systems Control group, led by Prof. Jorge Goncalves, develops computational methods that extract valuable information from a wide range of molecular and clinical time-series data. Bringing together diverse backgrounds (e.g. mathematics, control systems, machine learning, engineering and physics), we engage this problem from different perspectives for broad-ranging applications in biomedicine, including neurodegenerative and cardiovascular diseases, mechanisms of circadian rhythms and stem cell differentiation. For more information, please visit our website.

For further information, please contact Jorge Goncalves (jorge.goncalves@uni.lu).

Apply here https://emea3.recruitmentplatform.com/syndicated/private/syd_apply.cfm?ID=PA0FK026203F3VBQB7V7VV46C&nPostingTargetId=127473&nPostingId=78196

(Valid from 14/08/2023 to 31/12/2023)

Language: English (UK)

Location Belval

Country: Luxembourg

Organisation data: Department of Social Sciences (DSOC)

Job Number: UOL05967

Contract Type: Fixed Term Contract

Duration 24 Month

Schedule Type: Full Time

Work Hours 40.0 Hours per Week

Expected Start Date: 01/10/2023

Functions: Postdoctorant

Job (internal): Postdoctoral researcher

The University | About us...

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

The Faculty of Humanities, Education and Social Sciences (FHSE) brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed.

The faculty’s research and teaching focuses on social, economic, political and educational issues with the common goal of contributing to an inclusive, open and resourceful society. The FHSE offers six Bachelor and twenty Master degrees and a doctoral school providing students with the necessary knowledge and high-qualified skills to succeed in their future career.

  Your Role...

The researcher will be a member of the Youth Research Group, a dynamic team of researchers working on different aspects of young people's lives from a multidisciplinary perspective.

The primary responsibilities of this position include conducting and leading qualitative and quantitative research as part of the EvaH - (Evaluation Homework Support) research project.

The core of the project is the evaluation of the program "Hausaufgabenhellëf" launched by the Luxembourg government. The evaluation focuses in particular on the opportunities and challenges described by the participants of the program in dealing with the different instruments/elements of homework support, as well as on the desired cooperation mechanisms.

The evaluation was commissioned by the Observatory for Childhood and Adolescence and has a duration of 24 months. The evaluation will focus on conducting focus groups and an online survey with various participant groups. Thus, this is a mixed-methods project.

The researcher will be a member of the Centre for Childhood and Youth Research (CCY) within the Department of Social Sciences. The CCY consists of a multidisciplinary research team that studies the conditions and opportunity structures of growing up in the context of social change and inequalities. It maintains close links with other institutes and relevant organizations within and outside the department, both nationally and internationally.

Tasks

• Conducting and leading qualitative and quantitative research in a 24-month mixed-methods project (evaluation homework support)
• Preparation, implementation and evaluation of focus groups with different groups of respondents
• Planning and implementation of a broad-based written survey / online survey and its analysis
• Conduct and publish research in the area of evaluation research, on educational inequality, or other relevant topics
• Participate in policy-relevant analyses and disseminate findings to stakeholders
• Participating in and presenting at relevant national and international conferences
• Collaborate with relevant stakeholders inside and outside the university

  What we expect from you…

• PhD in a relevant field (e.g. sociology, pedagogy, educational sciences)
• Relevant (post)doctoral work and/or research experience
• Experience with qualitative research methods, especially qualitative interviewing; experience with quantitative research methods, conducting online surveys
• Experience with data processing and analysis software (e.g., ATLAS.ti, MAXQDA, SPSS, Qualtrics)
• Experience in the field of ethnography is a plus
• Confident command of German, English and Luxembourgish. French is an asset

  In Short...

• Contract Type: Fixed Term Contract 24 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval
• Job Reference: UOL05967

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 81072 (full time)

  How to apply...

Applications should be submitted online and include:

• Curriculum Vitae including publication record
• Writing sample (e.g., PhD thesis, journal article)
• Copies of diplomas
• Cover letter (maximum two pages)

Early application is highly encouraged, as the applications will be processed upon reception. Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

  Here’s what awaits you at the University

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR).
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure.
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …
• Find out more about the University
• Addresses, maps & routes to the various sites of the University

  Further information...

Contact:

Dr. Sandra Biewers Grimm / Tel. : (00352) 46 66 44 9557 / E-Mail: sandra.biewers@uni.lu

Apply here https://emea3.recruitmentplatform.com/syndicated/private/syd_apply.cfm?ID=PA0FK026203F3VBQB7V7VV46C&nPostingTargetId=127475&nPostingId=87497

Being one of the largest universities of applied sciences in the region of Bavarian Swabia, the Augsburg University of Applied Sciences focuses its work on quality, personality, openness, and partnership. Our mandate is to develop personalities that are in demand in business and society.

The Faculty of Architecture and Civil Engineering has two full-time positions (salary grade W2) to be filled beginning in the summer semester of 2024 or later:

Professor for  Digital Information Processing for AEC

The Faculty of Architecture and Civil Engineering is looking for two additional professors (m/f/d) to strengthen the newly introduced study program “digital.design and production (Digitaler Baumeister)”. The faculty aims to strengthen interdisciplinary and integrative competences in the field of digital technologies and process chains to address current challenges, such as digitalization, urbanization, and climate change. The digital transformative teaching and research content will also be integrated into the faculty’s existing bachelor and master programs – Architecture, Civil Engineering, and Energy Efficiency Design.

We are looking for candidates who can demonstrate a conceptual, methodical, theoretical, and visionary approach to the digital content in the program. Your focus is particularly on sustainable, social, and process-related topics that you can convey academically to students in teaching and applied research. We seek to appoint an expert with practical and theoretical experience in a responsible position on one or more of the following topics in the building industry:

• Artificial Intelligence, Machine Learning, Adaptive Systems
• Augmented Reality (AR) / Virtual Reality (VR)
• Data Science, data acquisition and data processing
• Smart city, networked infrastructure, geo-information systems (GIS)
• Practical experience on the construction site, with construction management and digital construction progress recording

Interest and willingness to integrate future-oriented and innovative topics into teaching and research are required. Work experience in interdisciplinary working groups and/or experience abroad in professional practice or in university cooperations in the advertised subject area must be presented. Publications and research experience as well as the acquisition of third-party funds on the above-mentioned topics are desirable.

The Augsburg University of Applied Sciences is looking for individuals with international experience who can offer lectures in English.

The scope of duties also includes active participation in the further development of the department and in the self-administration of the university. In addition, involvement in applied research projects and transfer of technology and knowledge at the Augsburg University of Applied Sciences is expected.

Things to look forward to:

Compensation is based on the Bavarian Salary Act, grade W2. In the W grade, additional bonus pay is possible in addition to a fixed basic salary. The scope of the teaching obligation is currently 18 semester hours per week.

A good workplace climate is a priority at the Augsburg University of Applied Sciences: mutual respect and open communications are an integral part of our culture. We value you, your opinion, and your expertise! We place great emphasis on the compatibility of work and family. We offer on-site childcare, mother-child rooms, and numerous other family-friendly measures.

The Augsburg University of Applied Sciences promotes the equality of women in the workplace and strives to increase the proportion of women, particularly in academic positions. Therefore, we expressly call on women to apply for this vacancy. If you have any questions concerning equal opportunities, please contact our Women’s Representative (alexandra.coenenberg@hs-augsburg.de).

Appointment to the civil service can take place for applications who have not yet reached the age of 52. We are committed to equality of opportunity and to a proactive and inclusive approach which support all under-represented groups.

The detailed requirements for employment are as follows:

• A university degree preferably in the field of civil engineering or a comparable course of study
• Excellent academic achievements in research and an outstanding doctoral degree or equivalent academic qualification
• A minimum of five years of work experience during which outstanding achievements in the form of applying or developing scientific discoveries and methods have been demonstrated; this period of work experience needs to have taken place after you completed your degree program, and at least three of the five years need to have been spent working in a non-academic context; if, over a period of at least five years, a considerable portion of your work involved a cooperation between a university and a non-academic employer, this time may be considered to meet the requirements for non-academic work experience in some cases
• Aptitude for teaching

Instructions on how to apply are available at www.hs-augsburg.de/karriere (only available in German).

We look forward to receiving your application including a covering letter, academic CV, proof of your university qualifications and work experience, as well as an outline of your teaching experience and publications. Please apply no later than September 17th, 2023.

If you have any questions, please contact Ms. Maria Braun, Telephone +49 821 5586-3277 or via e-mail to maria.braun@hs-augsburg.de.

PhD Candidate: Cyber incidents preparedness and response in humanitarian organizations (1,0 FTE)

The Institute of Security and Global Affairs (ISGA) of the Faculty of Governance and Global Affairs is looking for a PhD candidate to join our international research team on ‘Cyber Security Governance’ and ‘Governance of Crises’.

Project description Cyber incident preparation and response strategies have been developed primarily for the private sector. However, humanitarian organizations (HOs) have unique characteristics and challenges regarding collecting data, maintaining technological independence, and operating in cyber-insecure countries, among others. The consequences of a cyber incident for HOs can be catastrophic, severely limiting their ability to provide aid, damaging their reputation, and resulting in loss of support from donors. In this PhD trajectory, you will be exploring how cyber incident preparation and response strategies can be adapted to the unique characteristics of the HOs.

This PhD vacancy is part of the project funded by a FGGA starter grant ‘Securing Humanitarian Operations: Preparedness and Response to Cyber Crises in Aid Delivery.’ The project represents the consolidation of the alliance between the ‘Cyber Security Governance’ and the ‘Governance of Crises’ research groups at the Institute of Security and Global Affairs. Thus, the PhD candidate will conduct research both on cyber incident preparation, response and communication strategies, as well as the humanitarian sector. This research should lead you to obtain a PhD within a four-year timeframe. The position is split between research and teaching activities related to both groups (80%/20%).

More information about the project can be found at: https://www.universiteitleiden.nl/en/research/research-projects/governance-and-global-affairs/sharing-secrets-how-and-why-governments-and-third-party-stakeholders-disclose-intelligence-kopie

Key responsibilities

• Conduct original, collaborative and novel research in the field of cyber crisis governance and humanitarian action;
• Publish and present scientific articles at international peer-review journals, and national and international conferences;
• Support education activities in cybersecurity and crisis governance in the bachelor and master programs offered at the Institute of Security and Global Affairs, including lecturing, marking, and providing feedback to students;
• Engage in collaborations between academia and the humanitarian sector;
• Follow PhD courses based on an individual training and supervision plan.

Selection Criteria The applicant is expected to have:

• MSc in cybersecurity governance, risk and compliance, security studies, humanitarian action, crisis management, political science, public administration or related field – a research master degree is considered an asset;
• Experience with qualitative and quantitative research methods;
• Experience with working in multi- or interdisciplinary teams;
• Availability to travel and conduct fieldwork (interviews and survey) outside the Netherlands;
• Demonstrable strong skills in writing, communication, and presentation;
• Excellent command of English, other languages are an advantage.

Our organization Science for and about society is the domain of the Faculty of Governance and Global Affairs (FGGA). FGGA provides high-quality interdisciplinary education and research on social and governance issues such as terrorism, organisation of public administration, climate change and economic crises.

Contemporary issues are approached from an administrative, political, economic, legal and sociological perspective. This interdisciplinary approach gives the faculty's education and research a cross-border character.

The Faculty of Governance and Global Affairs (FGGA) is one of the seven faculties of Leiden University and is based in The Hague.

The FGGA is a young, enterprising and innovative organisation that is growing rapidly. The faculty has three scientific institutes, two centres, 3500 students and 330 staff members. For more information about the faculty click here.

Our institute The Institute of Security and Global Affairs (ISGA) is a scientific institute that focuses on multidisciplinary research and education within the international scientific field of security studies. ISGA analyses and studies issues in a coherent way from their local transnational and global impact.

Researchers at our institute are engaged in interdisciplinary research and teaching within the international scientific field of security studies. The approach to issues of security is glocal, that is to say that the local, national, transnational and global impact are studied and analysed in conjunction with each other.

ISGA operates from The Hague, the third major city of the Netherlands, center of national governance and International City of Peace, Justice and Security. See: https://www.universiteitleiden.nl/en/governance-and-global-affairs/institute-of-security-and-global-affairs

Terms and conditions The successful candidate will be part of an ambitious and dynamic team. He or she will be appointed for 1+3 years. The gross monthly salary is set on € 2.541,- in the first year, increasing to € 3.247,- gross per month in the final year, in accordance with the Collective Labor Agreement for Dutch Universities.

Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3%), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For international spouses we have set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information: Job application procedure and employment conditions.

Diversity Diversity and inclusion are core values of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive.

Information Enquiries can be made to Dr. Cristina Del Real (c.del.real@fgga.leidenuniv.nl). Applications Please submit online your application no later than September 15, 2023 via the blue button in our application system. The position is envisaged to commence in January 2024.

Please ensure that you upload the following additional documents in PDF format, quoting the vacancy number:

• Motivation letter (max 1 page);
• Curriculum vitae;
• Research statement where you share your first ideas on how you will approach the project, including suggestions for relevant research questions (max 500 words);
• The names and addresses of two potential referees (no actual recommendation letters required at this stage).

Enquiries from agencies are not appreciated.

The position is offered as  a fixed term position starting in September 2023 or as agreed and ending on September 2024. The position is located in the School of Technology and Innovations.

Your role

The Project Researcher (PhD Student) will be working full time on the project Smart Grid 2.0 (Next Generation Distribution Grid) funded by Business Finland. The research work will focus on a task studying novel methods to enhance DER hosting capacity of modern electricity distribution networks. The aim is to study various control methods for the grid inverter especially considering the requirements arising from the various grid codes. Furthermore, the aim is to study the possibilities to further develop the existing grid codes.

All tasks are agreed in more detail in the Annual Work Plan. The annual working time is 1612 hours.

Requirements

Position requires a Master’s degree in the field of Electrical Power Engineering and proven ability to conduct independently scientific research on the specified area. Studies or previous experience relating to the power electronics and the control of grid inverters are essential prerequisites. The main research work will be carried out with simulation tools such as Matlab/Simulink and OPAL-RT real-time simulator. Therefore, previous experience on these tools as well as some work history with power electronics is seen as a valuable asset. The applicant should be also highly motivated to carry out PhD studies.

To be eligible for a full PhD student position, the candidate is required to participate in a separate application process which is arranged twice a year in order to be admitted and enrolled as a doctoral student at the University of Vaasa. For more information about eligibility and the application process, please visit the Graduate School's website: https://www.uwasa.fi/en/research/researcher/graduate_school/.

Fluent written and spoken English language skills are mandatory in the position.

Inspirational work environment

The position is situated in the School of Technology and Innovations within the team of Electrical Engineering (Smart Grids).

We are strongly networked and responsible actors in research, education and public relations. As a work community, our team is diverse, international and encouraging. The cooperation and support of colleagues promotes well-being and inspires working.

More information about the School: https://www.uwasa.fi/en/about/organisation/schools/technology-and-innovations/

Salary

The salary will be based on both the job requirement and the employee’s personal performance in accordance with the Finnish University Salary System. The monthly salary of a Project Researcher (PhD Student) is based on job demand levels 2-4 (€ 2,183-2,720). An additional personal salary component is paid based on work performance.

How to apply 

To apply for this position, please use our online application system (using the “Leave an application” button below). The application, including appendices, has to be submitted using our online application database no later than 27th August 2023.

The application should include the following annexes in English (See instructions concerning these annexes: https://www.uwasa.fi/en/open-positions/application-attachments):

• CV. Use of CV template is required.
• Additional attachment 1. Single-page cover letter describing your motivation for this topic of research
• Additional attachment 2. Transcript of study records in a PDF format
• Additional attachment 3. List of Publications

Further Information

Further information about the position:

• Professor Kimmo Kauhaniemi, phone. +358 29 449 8287, email: kimmo.kauhaniemi(a)uwasa.fi
• Professor Hannu Laaksonen, phone. +358 29 449 8303, email: hannu.laaksonen(a)uwasa.fi
• Inquiries about the online application system: careers(a)uwasa.fi

Inquiries about the online application system: careers(a)uwasa.fi

The employment is subject to a 6 month probationary period.

The University of Vaasa is located on the West coast of Finland at the heart of Northern Europe’s largest energy and environment business cluster. The University of Vaasa is well positioned to interact actively with the surrounding society – internationally, nationally and regionally. Our community includes 5,000 students and 600 employees from 80 countries. As an employer, we focus on employee well-being at work by providing extensive occupational health care, flexible working time arrangements and opportunities for competence development. We have been awarded the HR Excellence in Research recognition. Read more about Working at the University | University of Vaasa (uwasa.fi) 

Application period starts: 2023-08-10 13:00 Application period ends: 2023-08-27 23:59

At the University of Vaasa we have an open mind and we want to build a sustainable future. We are a university that invests in high-quality research and teaching and takes on the challenges of our time. We educate responsible and internationally-oriented leaders and experts. We are known for the high quality of our education and our inspiring teachers. At the core of our university is a high level of expertise in business studies, technology, administrative sciences and communication. The discipline-specific research is complemented by our phenomenon-based research platforms.

We are now inviting applications for a Tenure track position in Statistics (Mathematics and Statistics)

The position offers an excellent opportunity to build a versatile academic career as a part of our internationally renowned and innovative community. The position will be filled either as a fixed-term Associate Professor position within the Tenure track system, or as a permanent Professor position. The level is determined by the applicant's merits and career stage.

Job description and requirements

The position is located in the School of Technology and Innovations and the field of the position is Statistics (Mathematics and Statistics).

The University of Vaasa is developing and strengthening the expertise in the fields of mathematics and statistics. Mathematics and Statistics belong to the School of Technology and Innovations at the University. Mathematics and Statistics unit consists of three professors (disciplines are mathematics, business mathematics, and statistics); four lecturers and a varying number of Ph.D. students and postdoctoral researchers. Currently, the unit has strong expertise in the areas of mathematical analysis and algebra (e.g. operator, spectral and system theory, finite fields, algebraic curves, number theory, coding theory), modern stochastic and mathematical finance (e.g. fractional stochastic processes, mathematical derivative pricing), and in statistics. Statistics has a central and well-established scientific position at our university.

Traditionally, our special expertise has been oriented towards statistical modeling in the areas of econometrics and finance, as well as statistical multivariate analysis, but big data and modern machine learning methods have become increasingly important in both teaching and research. The teaching of the unit covers basic courses for all disciplines at the University, special courses for the doctoral students and some focused courses in special areas relevant to technical and business tracks at the university. The unit is highly research oriented with a considerable number of papers appearing in top tier journals in the focus areas. The University of Vaasa does not have majors in Mathematics or Statistics, however the Mathematics and Statistics unit actively maintains its own doctoral education, where doctoral students can have a thesis focusing on basic theoretical research or applications, or a combination of these.

The field of the position is Statistics. Statistics is currently a rapidly developing field of science, where new statistical methods are developed and applied in a diverse manner, both in a number of traditional disciplines and in new multidisciplinary areas of research. With digitalization, the processing of rapidly expanding data resources, real-time measurements and sensor data requires increasingly efficient statistical analysis and modelling, statistical optimization, and, through evolving statistical models, more accurate predictions in the direction of the surrounding society, sustainable development, industrial, commercial, ecological environment on a sustainable basis.

For the position of Professor/Associate Professor of Statistics, we are looking for a scientifically distinguished statistician or promising researcher in a strong upswing, who has the ability and previous scientific evidence for research work in the field of statistics and is well positioned to keep up with the current development of statistics on a broad front.

In addition to research related to statistical methods, the Professor/Associate Professor of Statistics will be responsible for the comprehensive planning of statistical methods training applied at the University of Vaasa in different disciplines as well as for the management of the discipline. At the University of Vaasa, statistical methods are taught to all students in basic and postgraduate education leading to bachelor's, master's and doctoral degrees. The role of statistical methods in the different areas of strength of the university (in business, social sciences and engineering) is strong: e.g. finance, economics apply advanced statistical research methods and empirical analysis related to econometrics, including modern statistical and stochastic time series models in these fields; statistical methods are widely used in various domains of marketing, management, social sciences; smart usage of modern statistical methods to analyze real-time measurements and e.g. sensor data generated in various fields of energy and technology increasingly apply machine learning tools, and this requires efficient statistical analysis and modelling due to big data resources.

The annual working time is 1612 hours based on the general collective agreement for Finnish universities and tasks are agreed in more detail in the Annual Work Plan.

Applicants are required to have an appropriate doctoral degree together with excellent academic merits as well as evidence of high-quality research and teaching. For the position of Professor, practical non-academic experience in the field is not required but can be considered beneficial.  For further detailed information about the requirements, criteria and our Tenure track procedure, please see:  www.uwasa.fi/en/tenure-track

Salary and benefits

The University of Vaasa is located on the West coast of Finland at the heart of Northern Europe’s largest energy and environment business cluster. The University of Vaasa is well positioned to interact actively with the surrounding society – internationally, nationally and regionally. Our community includes 5,000 students and 600 employees from 80 countries. More information about Working at the University.

We invest in our employees' occupational well-being by offering comprehensive occupational health care. This includes extensive medical care and preventive measures such as ergonomic check-ups, fitness and culture vouchers,  and a multitude of other activities to support well-being at work. Our flexible working times and options such as blended home/campus working contribute to work-life balance.  Our commitment to support the career development of our personnel is visible in the broad offering of training and competence development opportunities.

The salary is based on the Finnish University Salary System (YPJ) and  subject to regular reviews. The annual starting salary incl. holiday bonuses is approx.

• Associate professor: €58,000 - € 63,000
• Professor:  €70,400 - € 85,800

Each University of Vaasa employee automatically belongs to a pension scheme and the majority part of the pension contributions is paid by the employer. We also pay bonuses for publications accepted in high-ranking outlets. If you are moving to Finland from abroad, paid relocation services are available.

Applications

Applications are submitted using the University of Vaasa's electronic recruitment system (See the ‘Submit an application’ button below). In order for applications to be processed, the application form must be filled out and the enclosures listed below must be attached to it. The application period until midnight (Finnish time, GMT +3) 10.9.2023.

1. Attachments in English:

• Curriculum vitae 
• List of publications
• Research plan (max 5 pages):  the research plan should detail the ways in which the candidate would direct their research from the perspective of their own discipline towards the focus of the position described in this call for applications and the strategic focus of the University of Vaasa’s research. The plan must include a description of the phenomena concerned, the perspective on the applicant's own subject and the added-value to be realised from analysing the phenomena as well as possible partners. lt is beneficial if the plan also includes potential sources of external financing (programmes or similar) and a publication plan.
• Teaching portfolio (complementary to the teaching merits listed in the CV)

2. In addition, numbered according to the publication categories in the list of publications:

• Copies of no more than 10 publications that the applicant wishes to be taken into account when evaluating their competence and qualifications. The publications can, if needed, be merged into a maximum of 7 pdf-files.

Further information

• The position is located in Vaasa, Finland.
• Starting date 1.4.2024 or as agreed. The appointment is subject to the satisfactory completion of a trial period of 6 months.
• More information about the position:
  • Raine Hermans, Dean, School of Technology and Innovations, tel. +358 29 449 8622, email: raine.hermans(a)uwasa.fi
  • Seppo Hassi, Professor, School of Technology and Innovations, tel. +358 29 449 8279,  email: seppo.hassi(a)uwasa.fi
• Inquiries about the online application system: careers(a)uwasa.fi

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The School of Technology and Innovations provides internationally recognized engineering and economic education and research. The School's areas of strength in research are data networks and wireless telecommunications services, optimisation, decentralised power generation, power distribution and use, quality and technology management, logistics, product development and modelling of economic and technical phenomena. 

We are developing our expertise with the energy industry in the region, called EnergyVaasa, which is the largest energy technology hub in the Nordic countries. The companies located in the area are world leaders within different technologies, such as smart electrical solutions, sustainable energy, flexible power generation and digitalization. The substantial number of high-tech companies in the region makes it a fertile breeding ground for novel ideas. The export rate of 80% demonstrates the strong internationalization. The University of Vaasa is an important actor and continuously cooperates with the entire industry. 

More information about:

• working at the University of Vaasa: Are you our new colleague? | Vaasan yliopisto (uwasa.fi)
• expat at the University of Vaasa: Expat
• living in Vaasa: Vaasan kaupunki | Vasa stad | City of Vaasa
• living in Finland: thisisFINLAND 

Application period starts: 2023-08-09 15:00 Application period ends: 2023-09-10 23:59

Location:  UK Other

Closing Date:  Sunday 10 September 2023

Reference:  SCI2217

Supervisor: Prof. Sacha Mooney

Secondary Supervisor: Andy Neal (Rothamstead)

Subject Area: Soil Science, Computer Science

Research Title: Using AI to understand the role of the soil microbiome in carbon sequestration

Research Description

Managing natural processes is one of the most practical and effective implementable approaches to removing CO2 from the atmosphere. It is imperative to measure carbon sequestered by natural means accurately, to understand process drivers and uncertainties and to accelerate nature-based carbon sequestration. Soil can store or sequester carbon through microbiological activity, providing a nature-based sink for CO2. However, poorly managed soils can release carbon as CO2 or methane (CH4) to the atmosphere-contributing to climate change and reducing soil health and fertility.

This project will develop machine learning (ML) platforms to monitor, quantify and reveal the processes underlying soil carbon sequestration. This approach combines measurements of physical, chemical, and biological functional and evolutionary processes. Soil microbiome research focuses on determining which microbial taxa and functions facilitate carbon capture across a range of climatic conditions.There will be an analytical challenge to integrate datasets of different types, scales and modalities. These relate to the processing and integration of soil chemistry, soil structure (tomographic imaging data) and metagenomic profiling of soil microbiome across different environmental conditions and soil textures. The overall aim is to integrate disparate measurements of physical, chemical, and biological processes in soil to develop a generalizable predictive model of carbon sequestration.

Award Start Date: 02/10/2023

Duration of Award: 48 months

Terms and Conditions: This research studentship is only available to UK citizens and includes payment of tuition fees and a tax-free stipend based on EPSRC rates

Applicant Qualification Requirements: PhD in relevant science discipline

How to Apply: email to sacha.mooney@nottingham.ac.uk

Ref ORU 2.1.1-05122/2023

We are looking for a postdoctoral researcher in machine learning and robotics for a fixed-term position at the School of Science and Technology.

Subject area

The subject area for this position is Computer Science.

Background

The focus of this position is machine learning for skill transfer in robots. The assignment is for fundamental research on algorithms and models for representation, transfer, combination, and adaptation of skills. Prior knowledge, experience, and interest in reinforcement learning, robotics, and machine learning are advantageous for this position.

This position is part of a research project about teams of robots working for and with humans (TeamRob) with other academic and industrial collaborators in Sweden. Within this project, the scope of this position is research and development of approaches for skill transfer between different tasks and different robots. This position is hosted at the adaptive and interpretable learning systems lab (AILS) at the center for applied autonomous sensors systems (AASS). The lab’s research focus are interpretable machine learning methods for adaptation, transfer, and continual learning with emphasis on methods that represent uncertainty and provide insights.

Duties and responsibilities

The appointment as a postdoctoral researcher is intended to enable persons who have recently been awarded their doctoral degree to consolidate and develop primarily their research skills.

This position is primarily focused on research and publishing results in high-impact peer-reviewed venues. Further, if suitable, the postdoctoral researcher can assist in supervision of doctoral students and take an active role in developing the research environment.

Qualifications

Eligible for the appointment as postdoctoral researcher are applicants holding a doctoral degree in Computer Science or in related subject areas. Candidates who are expected to complete a doctoral degree after the application deadline will also be given full consideration but in that case proof of a completed degree must be presented before an appointment decision can be taken. The doctoral degree should have been awarded no more than three years prior to the application deadline. Candidates who have obtained their doctoral degree prior to that may however also be considered if special grounds exist (leave of absence due to illness, parental leave, clinical duties, an elected position in a trade union, or other similar circumstances). The applicant may not previously have held a position as a postdoctoral researcher for more than one year in the same subject and at the same higher education institution. If the person during the period of employment has been on parental leave, the period of employment is extended by the corresponding number of days. The period of employment may also be extended in the event of absence due to illness.

Assessment criteria

A basis for the assessment is the applicant’s ability to disseminate information and communicate; collaborate and engage with the wider community; and facilitate utilisation of the university’s research. In addition, the applicant’s suitability for the position will be assessed. Suitability refers to the applicant demonstrating the personal qualities required to successfully perform the duties and responsibilities at hand, the ability to cooperate with other members of staff, and the ability to contribute to the development of the operations.

Particular attention is to be paid to the applicant’s prospects of contributing to the future development of both research and education. Importance is also attached to a demonstrated ability and ambition to embark on a career within academia.

The applicant is assessed on demonstrated scientific expertise, skill, and knowledge in the subject matter. Particular attention is paid to the applicant’s prospects to contribute to research on the topics outlined above.

The applicant should possess and demonstrate:

• A strong background in computer science (machine learning or robotics)
• Prior research experience in the areas (machine learning or robotics)
• A track record of high-quality publications
• Excellent programming/implementation skills
• Excellent communication skills in English

Information

This is a full-time position for a fixed term of two years. The salary depends on the successful candidate’s qualifications and experience.

For more information about the scientific aspects of this position, contact Johannes A. Stork, email: johannesandreas.stork@oru.se. For other information regarding this position, please contact the Head of Unit, Lars Karlsson, email: lars.karlsson@oru.se.

At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach.

Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterised by openness, trust and respect. We value the qualities that diversity adds to our operations.

Application

The application is made online. Click the button “Apply” to begin the application procedure.

For the application to be complete, the following electronic documents must be included:

• Covering letter detailing suitability for this position (max. 1 page, in English)
• CV with a relevant description of your overall qualifications and experience (in English)
• Account of research qualifications and experience (in English)
• Copies of relevant course/degree certificates and references verifying eligibility and criteria met
• Relevant scientific publications (maximum of 10 and in full-text format)

Only documents written in English, Swedish, Norwegian and Danish can be reviewed. More information for applicants will be found on our career site:  https://www.oru.se/english/career/available-positions/applicants-and-external-experts/

The application deadline is 2023-09-22. We look forward to receiving your application!

We decline any contact with advertisers or recruitment agencies in the recruitment process.

As directed by the National Archives of Sweden (Riksarkivet), Örebro University is required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

Länk till den här sidan https://web103.reachmee.com/ext/I003/354/main?site=5&validator=43a1fbd05a0e84d542a937e3454d48f8&lang=SE&rmpage=job&rmjob=10086&rmlang=SE

The Formal Methods and Tools (FMT) group at the University of Twente is looking for a highly motivated and talented PhD candidate to join the team working on diagnostic methods for malfunctions of cyber-physical systems. Designing systems such as MRI printers and scanners, for instance, is by no means easy and failures are often expensive and dangerous. To lower these costs, and increase system availability and reliability, more knowledge about these failures is needed: how do they arise and how to prevent and repair them?

You will be working on the ZORRO project: Engineering for Zero Downtime in Cyber-Physical Systems via Intelligent Diagnostics, led by Prof. Dr. Mariëlle Stoelinga. System-level diagnosis currently heavily depends on knowledge that is hidden in the brains of the experts or written documentation, often vaguely specified. Therefore, you will be working on (i) finding ways to formally model knowledge about organisations, agents and domains for the specific task of diagnostics, (ii) developing knowledge extraction methods in large industrial systems, (iii) extracting knowledge from various information sources (such as tables, spoken conversation, meta-data, etc.)  and (iv) integrating the various extracted knowledge and data into the actual diagnostic process. Responsibilities:

• You will perform daily PhD-level research. You will both work on your own topics, and collaborate with an excellent and internationally renowned team of researchers and experts in the field to contribute to the development of new techniques and approaches.
• Work on industrial cases, in collaboration with our consortium partners: Philips and Canon.
• Present (both preliminary and mature) results at appropriate meetings and conferences.
• Publish results in scientific workshops, conference proceedings, and journals.
• Contribute to teaching on topics related to your work.
• Supervise and mentor involved BSc and MSc students as needed.

Your profile

• You have, or will shortly acquire, a MSc degree in Computer Science, Mathematics, or a related field.
• You have a creative mindset and strong problem-solving and analytical skills.
• You are comfortable with working on practical tasks, on industrial case studies.
• You have a thorough theoretical background, e.g., in formal methods.
• You have experience with at least one of the fields of safety, failure analysis, statistical and/or knowledge modelling, information extraction, and are willing to delve deeper into these topics.
• You are fluent in English and have excellent communication skills.
• You have good team spirit and like to work in an interdisciplinary and internationally oriented environment, collaborating within the industry and academia alike.

Our offer

• As a PhD student at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;
• The University offers a dynamic ecosystem with enthusiastic colleagues;
• Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
• You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);
• There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
• The flexibility to work (partially) from home;
• A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.
• Free access to sports facilities on campus
• A family-friendly institution that offers parental leave (both paid and unpaid);
• You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;
• We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff. Starting date of the position: as soon as possible.

Information and application

If you are passionate about computer science and interested in working on cutting-edge research, we encourage you to apply for this exciting opportunity. Are you interested to be part of our team? Please submit your application via the ‘Apply now’ button below until 24 September and include:

• A motivation letter, emphasizing your specific interest and motivation to apply for this PhD position in our group.
• A full Curriculum Vitae including your education, publications, awards, working experience. Your CV should demonstrate the scope of your work and education and indicate a good fit with the stated requirements for the position.
• An academic transcript of BSc and MSc education, including grades.
• A short description of your last large deliverable (MSc thesis, final project report, EngD thesis).
• References (contact information) of two scientific staff members (such as the supervisor of your MSc thesis/final project) who are willing to provide a recommendation letter at our request.

The applications are screened continuously, the first deadline for applications is 24 September 2023, but later applications may be considered. For further information about this position, please contact Dr. Georgiana Caltais, g.g.c.caltais@utwente.nl or Prof. Dr. Mariëlle Stoelinga, m.i.a.stoelinga@utwente.nl. Interviews will take place in two phases. If selected, there will be an online interview, on 29 September, 3 or 4 October.  A subset of the candidates will be invited for an in-person interview as well, on 9 or 12 October.

About the department

The FMT group is part of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente. Our central goal is to develop formal techniques and tools to support the development of complex systems, and increase the reliability of the high-tech systems that we all rely on, both as individuals and as society.

About the organisation

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

TU Wien is located in the heart of Europe, in a cosmopolitan city of great cultural diversity. Our identity as a research university means that we build our reputation through our research. TU Wien combines basic and applied research and research-oriented teaching at the highest level. The group of Prof. Silvan Schmid at the Institute of Sensor and Actuator Systems invites applications for a 4-year PhD position in the field of optomechanical/nanomechanical sensing.

The Project

The goal of the project “Multi-modal analysis of single molecules by nanomechanical detection" is to identify rare proteins. It is a collaboration with the Quantum Optomechanics Group at the Niels Bohr Institute in Denmark and the Spin Physics Group at ETH Zurich in Switzerland. For more information about the project please contact the principal investigator (PI) Univ.-Prof. Dr. Silvan Schmid (silvan.schmid@tuwien.ac.at).

Your profile

This interdisciplinary project provides a unique intersection of various fields including nanomechanics, optomechanics, phononic and photonic engineering, analytical chemistry, and absorption spectroscopy. For this most ambitious project we are looking for a motivated PhD student fulfilling these requirements:

• MSc degree or comparable degree in physics, electrical engineering, analytical chemistry, mechanical engineering, microsystem technology, or in a related subject.
• Strong analytical skills and theoretical knowledge in the disciplines listed above.
• Prior experience in micro- and nanofabrication would be an asset.
• Solid written and oral communication skills in English.

We offer

The successful candidate will work in the group of Prof. Silvan Schmid at the Institute of Sensor and Actuator Systems located in the center of Vienna. The institute offers an international environment and excellent infrastructure. You can find more information about the group and the institute https://www.tuwien.at/etit/isas/mns. In addition, we offer

• Continuing personal and professional education and flexible working hours
• Central location of workplace with very good accessibility (U1/U4 Karlsplatz)
• A creative environment in one of the most livable cities in the world
• A highly competitive salary (Salary of the position is according to collective labor agreement for employees at universities, salary group B1, based on 31 hours per week, a gross salary of currently EUR 35,558.70 per year)
• Additional benefits for employees can be found at the following link: Fringe-Benefit Catalogue of TU Wien

Your Application

We invite highly qualified and motivated students having a strong interest in optomechanical sensing to send us your detailed application documents (including a letter of motivation, CV grade transcripts and BSc/MSc diploma) in a single pdf file via email. To phd3661@tuwien.ac.at until October 15, 2023 Candidates are not eligible for a refund of expenses for travelling and lodging related to the application process. TU Wien intends to increase the number of women on its faculty and therefore specifically invites applications by women. Among equally qualified applicants, women will receive preferential consideration.

Engineering

Location:  Jubilee Campus

Salary:  £30,487 to £45,585 per annum (pro rata if applicable) depending on skills and experience (minimum £33966 with relevant PhD). Salary progression beyond this scale is subject to performance.

Closing Date:  Friday 08 September 2023

Reference:  ENG353223

Applications are invited for a full-time Research Associate/Fellow position within the Power Electronics Machines and Control research group.

The successful candidate will support two new research projects developing reliability and lifetime models for power electronic components. This could include models for electronic packaging (e.g. interconnects such as wirebonds and solder joints), or for internal semiconductor failure modes (e.g. gate oxide degradation in MOS devices).

Candidates should hold an BEng, MEng or equivalent degree in electrical/electronic, mechanical or materials engineering or a related discipline and holds or is about to obtain a PhD in an appropriate field.

Candidates should also have the ability to work independently within a multidisciplinary research team and have excellent communication and presentation skills.

 Technical skills, knowledge and skills in the following areas are essential:

• Knowledge of the fundamental physics underpinning failure in electronic components, and the typical failure mechanisms in electronic components.
• General electronic laboratory practical skills required for experimental characterisation of electronic components.
• The ability to develop computer models from experimental results using industry standard tools such as MATLAB/Simulink.

This post is available on a fixed term basis for 2 years. Hours of work are full time (36.25 hours). Job share arrangements may be considered.

Informal enquiries may be addressed to Paul.Evans@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.

Further details:

• Job Description/Role Profile

View Additional Information (this will open a new window)

Our University is a supportive, inclusive, caring and positive community. We welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, see our Moving to Nottingham pages.

Applicants for this post will be considered on an equal basis, subject to the relevant permission to work in the UK as defined by the requirements set out by UK Visas & Immigration.  Please visit: https://www.gov.uk/government/organisations/uk-visas-and-immigration for more information.

For successful international applicants, we provide financial support for your visa and the immigration health surcharge, plus an interest-free loan to help cover the cost of immigration-related expenses for any dependents accompanying you to the UK. For more information please see our Financial support for visas and the immigration health surcharge webpages.