Assistant professor in Machine Learning with focus on digital forensics – Linköping, Sweden

Ref LiU-2023-02290

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

Duties

The department of Electrical Engineering (ISY) is central to the engineering education at LiU both regarding basic and applied knowledge. Our research is based on industrial needs, and ranges from basic research to direct application in collaboration projects. The Information Coding division (ICG) within ISY uses information- and coding-theoretic methods alternatively quantum technology to develop communication, identification, and computing methods for future networks that are reliable, secure, private, robust, have low complexity and/or low latency.

The current position as assistant professor is a part of the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever; a major national initiative for strategically motivated basic research, education and faculty recruitment (see https://wasp-sweden.org/). WASP comprises five Swedish full partner universities and a substantial part of Swedish industry and commerce. The WASP initiative includes among many instruments an international recruitment program and the present announcement aims to strengthen Linköping University specifically in the field of machine learning within the AI focus-area of WASP. Specifically, the goal is to complement the existing excellence in areas of Computer Vision, Digital Forensics and Cybersecurity.

The research includes Machine Learning with particular emphasis on image and video analysis using anomaly detection techniques towards automated criminal activity detection as well as detection of AI-generated media. The focus is on research and development of methods and mathematical tools with the aim of better understanding the theories and processes within applications of machine learning in digital forensics. Suitable research questions within Digital Forensics should match one or more areas 1) image and video anomaly detection and 2) remote sensing. Examples of suitable research topics include, but are not limited to, detection of fake images and videos generated using AI models and automated video and observational surveillance.

This position is hosted at the Information Coding division, together with other researchers of the Digital Forensics group from the Computer Vision division. Therefore, you are also expected to interface with researchers in the Information Coding division working in other areas such as quantum technologies and information-theoretic security, both of which can also benefit from machine learning. As an assistant professor, you are expected to collaborate with other research areas present in the Information Coding division, such as quantum machine learning.

The purpose of the employment is that the assistant professor is to be given the opportunity to develop independence as a researcher and to obtain both the research and teaching qualifications required for employment as associate professor. You will primarily be engaged in research and PhD supervision. Assuming a separate decision from WASP the position comes with financing for own salary and expenses for five years, plus salary and expenses for two postdocs (2+2 years) and for two PhD students (4+4 years). The holder of the position is expected to build a new research group and engage in WASP’s graduate school, WASP national meetings and other activities.

You as an assistant professor is also expected to actively engage in applying for external research funding and to establish an own independent research group. The duties include approximately 20 percent teaching.

You are active in the research community, participate in the division’s activities such as seminars and workshops, participate in research projects, communicate results through academic publications and help attract external research funding.

You contribute actively to the university’s development work. Collaboration in research takes the form of disseminating, making available and utilising research collaboration is an integral part of the University’s research and education mission.

Your work includes monitoring developments nationally and internationally within your field of study and other societal developments that are important to your work.

You are flexible and have the ability to move between different types of pedagogical and scientific contexts. You share knowledge and contribute to the working group’s professional development, collegial ways of working and social community. The fact that you are present and active is something we see as self-evident in order to ensure that you are able to perform your duties in an optimum way and enjoy your working community.

Qualifications

We are looking for candidates who have a doctoral degree or equivalent scientific competence. We are primarily looking for candidates who have obtained their doctoral degree in the past five years.

For this employment particular attention is paid to academic expertise, second to pedagogical expertise, and third to other proficiencies which are judged to be equivalent to each other.

In terms of academic expertise, the following will be assessed (linked to the work duties above):

• A requirement for the position is continued research after the PhD degree.
• Of particular merit for the position is documented academic expertise in research in the field as described above.
• Of particular merit for the position is demonstrated ability of attracting external research funding.
• Of merit for the position is documented participation in research networks.

In terms of pedagogical expertise, the following will be assessed (linked to the work duties above):

• Of particular merit for the position is demonstrated ability of reflection on one’s teaching.
• Of merit for the position is experience of developing digital teaching methods.

Of merit for the position is

• documented expertise in collaboration in research.

Since teaching and research is conducted in both Swedish and English, you must be able to demonstrate the ability to teach and conduct research in both Swedish and English and it is desirable that within two years you can teach in Swedish.

Your workplace

Read more about the Department of Electrical Engineering and the Information Coding division here.

The employment

The length of employment for this position is five years, full time. Starting date by agreement.

An assistant professor may be employed until further notice, for a minimum period of four years and a maximum period of six years, as determined by the institution of higher education before the employment begins. The employment may be renewed, by a maximum period of two years, if, as a consequence of sick absence, parental leave, or other special circumstances of the assistant professor, additional time is necessary in order to achieve the purpose of the employment.

An assistant professor shall, after application, be promoted to associate professor if he/she is qualified for employment as associate professor and has been assessed following a test to be suitable for such employment according to the grounds for assessment that the University has determined.

For more information on the rewuirements, assessment criteria and employment procedures for teachers, see Linköping University’s employment regulations.

Salary and employment benefits

The university applies individual salary scales based on the experience of the employee and the labour market.

More information about employee benefits is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must be received no later than 15 of September, 2023.

Applications and documents received after the date above will not be considered.

Please attach your selected research publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar at Linköping University, University Registrar, S-581 83 Linköping, Sweden. The publications must be received by Linköping University no later than the deadline for application.

Please note that printed publications will not be returned. They will be archived at Linköping University.

In the event of a discrepancy between the English translation of the job announcement and the Swedish original, the Swedish version shall take precedent.

We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities. We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Jan-Åke Larsson

Professor, Head of Department

+46 13 281468

jan-ake.larsson@liu.se

Guilherme Xavier

Universitetslektor och avdelningschef

+46 13-28 13 79

guilherme.b.xavier@liu.se

Rebecka Delvert

HR Partner

rebecka.delvert@liu.se

Christina Hammarstedt

Sekreterare i anställningsnämnden

+46 13 28 15 28

christina.hammarstedt@liu.se

URL to this page

https://liu.se/en/work-at-liu/vacancies/22603