Description

Al Mawrid Arab Center for the Study of Art in the Research Institute, New York University Abu Dhabi, seeks to recruit a research fellow to conceive and execute collaborative research on modern art of the Arab world. The successful applicant will engage in research that advances knowledge on modern Arab art, author/edit peer reviewed publications, contribute to the expansion of the Center’s unique Arab Art Archive and will create pedagogical programs engaging faculty and students in interdisciplinary research in the visual art. The candidate will participate in the Center’s strategic planning, in collaborating with art institutions, and in researching and writing grant proposals.  Additionally, the post holder will serve as an information conduit between members of the Center’s research and archive teams as well as interact with the NYUAD community, and will foster partnerships with key stakeholders in the region and beyond. The candidate will contribute to creating a nexus for conversations and collaborations on art of a region that is experiencing unprecedented growth in its arts and culture ecosystem.

Applicants must have a Ph.D. with a primary focus on the art and culture of the Arab world. The Ph.D. will ideally be in Art History but may also be in a related field. A preference for an additional degree and/or training in library science and digital humanities. Minimum of 3-year experience as a researcher in art and culture of the Arab world with peer reviewed publications. Fluency in English and Arabic is required.

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email: nyuad.almawrid@nyu.edu

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

About al Mawrid:

al Mawrid Arab Center for the Study of Art is a research center and archive dedicated to the interdisciplinary study of the visual arts of the Arab world. Through a range of activities that include fellowships, research projects, and conferences, as well as the construction of a unique digital archive which acquires primary source materials pertaining to modern art across the Arab world, between 1850 to 1995. The Center works with artists, their families, collections, galleries, arts organizations, and other institutions throughout the region and around the world to digitize and produce research from a range of primary documentary material. The Center is part of the NYUAD Research Institute and works in collaboration with the Arts and Humanities Division serving faculty research and undergraduate and graduate education.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

Post-Doctoral Associates in the Center for Brain and Health (CBH) & ASPIRE Precision Medicine Research Institute - Dr. Bas Rokers

Description

The Center for Brain and Health and the ASPIRE Precision Medicine Research Institute at New York University Abu Dhabi (NYUAD) seek to recruit Post-Doctoral Associates for two projects for Rokers Vision Lab reporting to Dr. Bas Rokers.

1) Linking Retinal, Neural, and Perceptual Deficits in Visual Disorder:

Individuals in the UAE are at substantial risk for perceptual deficits due in part to one of the highest diabetes rates in the world. About 10% of diabetic patients suffer severe vision loss and another 2% are completely blind 15 years post-diagnosis. Thus, understanding precisely how diabetes leads to visual deficits is a question with key regional relevance.

Importantly, diabetic vision loss is not fully explained by retinal damage alone. Instead it is likely that microstructural damage in the brain as well as the eye contribute. Since early risk prediction and timely intervention can mitigate vision loss, it is critical that we fully understand the underlying cause(s). This project aims to identify biomarkers in the eye and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We combine ophthalmological, neuroimaging and behavioral data, and incorporate deep learning methods to facilitate biomarker discovery and enhance predictive power. As a postdoctoral associate you will join a multidisciplinary research team including experts at NYUAD and Cleveland Clinic Abu Dhabi with a demonstrated track record in vision science, neuro-imaging, neuro-ophthalmology and deep learning.

2) Using Advanced Imaging-derived Biomarkers to Predict Health Outcomes:

Neurological problems, such as stroke, are a likely consequence of obesity, diabetes, MS, and cardiovascular disease. Since these conditions are prevalent in the UAE, identifying the factors that predict and mitigate the risk of stroke early is critical to local health. To this end, NYUAD recently initiated the first large epidemiological study in the UAE – the UAE Healthy Future Study (UAE-HFS), a prospective cohort study of 20,000 UAE nationals aged 18- 40 years which seeks to determine how health is affected by lifestyle, environment, and genes. While these risk factors will be important in understanding long-term health, it is not yet clear how physiological data, such as neuro-imaging can advance our understanding of health outcomes.

This project seeks to address this critical gap in our knowledge. A key limitation of previous work has been a focus on individual imaging modalities (e.g., fMRI, diffusion imaging) at the exclusion of combining information across modalities. Our long-term objective is to develop a “phenotypic fingerprint” from multimodal imaging data in healthy controls to be used as an early predictor of adverse neurologic events. The overarching aim of this project, which represents the first step in this objective, seeks to develop and validate this pipeline.

Our approach is to recruit healthy control subjects and patients through collaborations with Cleveland Clinic Abu Dhabi to develop and test the “phenotypic fingerprint” method. This approach is inspired by large ongoing studies including the UK Biobank and the Human Connectome Project, but with a focus on the local population, which present a unique genetic makeup, and regionally-relevant disorders. As a postdoctoral associate you will join a multidisciplinary research team with expertise in neuro-imaging (Rokers, Abdullah) and experience applying multimodal imaging to health-related issues and public health (Ali, Cho).

Job Requirements:

Required expertise includes strong knowledge of sensory neuroscience and expertise in at least one of the imaging methodologies involved in the project (OCT-A, structural MRI, fMRI, dMRI, ASL). For a competitive application at the post-doctoral level, candidates should demonstrate experience in leading imaging studies, as shown by publications in international scientific journals. The successful candidates will work in a multidisciplinary Center environment with world-class research infrastructure, consisting of PhD-level scientists, graduate and undergraduate students.

The positions are funded for two years with the possibility of renewal.

The terms of employment are extremely competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the positions are filled. For formal consideration, applicants should submit a cover letter, curriculum vitae, statement of research interests, expected date of availability, and contact information for at least 2 letters of recommendation all in PDF format, via Interfolio.

Questions regarding specifics for this position may be directed to Dr. Bas Rokers at br87@nyu.edu

About NYUAD

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

Description

The research lab of Dr. Karim Ali, in the Division of Science (Computer Science Program) at New York University Abu Dhabi, seeks to hire a post-doctoral associate to work on programing languages research, to be involved in the development of open-source tools and resources, and to work on publications related to their research.

Dr. Ali’s research focuses on scalability, precision, and usability of program analysis tools. Current research projects range from developing new theories for scalable and precise program analyses (e.g., pointer analysis, data-flow analysis) to applications of program analysis in security (e.g., crypto API misuses) and just-in-time compiler optimizations (e.g., method inlining). More information on Dr. Ali’s research is available at https://karimali.ca.

The position will target the rank of Post-Doctoral Associate (within 3 years of PhD) with the following:

Minimum Qualifications:

• PhD in Computer Science, with a focus on programming languages or related fields
• Proven scientific and research background through the independent design, implementation, and evaluation of at least one programming languages related research project
• Excellent programming skills
• Strong software engineering skills including use of version control systems, continuous integration, testing
• Excellent communication skills (both written and verbal)
• Demonstrated ability to work as part of a team

Preferred Qualifications:

• Research publication record appropriate for the hiring rank
• Industry experience is a plus

This position will be based at New York University in Abu Dhabi, and the candidate must be ready to relocate to the United Arab Emirates. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be reviewed immediately and candidates will be considered until the position is filled.

To be considered, all applicants must submit a cover letter, curriculum vitae, transcripts of all degrees, a one-page summary of research accomplishments and interests, and at least 2 references for letters of recommendation, all in PDF format. Short-listed candidates will be invited for an online interview, which will include delivering a short research talk. If you have any questions, please email: karim.ali@nyu.edu.

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

Description

The Laboratory for Computer-Human Intelligence in the Division of Engineering of New York University Abu Dhabi (NYUAD), seeks to recruit a motivated Post-Doctoral Associate to work on cutting-edge machine learning / artificial intelligence applications that utilize human signals (e.g. text, audio, physiology).

Technical Experience

The successful applicant will have the following technical experience in:

• The development of end-to-end applications (e.g. databases, algorithms, visualizations).
• Processing one or more data types/signals (e.g. text, audio, images, physiology).
• Applying machine learning algorithms (e.g. regression, neural networks).
• Utilizing the following programming languages/frameworks: bash, SQL, Python, HTML, Javascript, and Tensorflow/Pytorch, as well as code version control (git).
• Authoring peer-reviewed scientific papers in top-tier scientific venues.

Attitude

The successful applicant should be self-driven and interested in the general domain of machine learning (e.g. latest ideas, research findings, research tools), contain a scientific curiosity for formalizing the underlying mechanisms of the observable world (e.g. do we make conclusions based on the words in speech, or intonation of speech?), and is passionate about creating timeless systems, with an attention to detail and zeal for quality.

Educational Experience

The successful application will have a PhD degree in Computer Science (or equivalent major).

Application Requirements

Applications will be considered on a rolling basis until the position is filled. An applicant that passes the review process will be accepted immediately. The terms of employment are very competitive and include housing and educational subsidies for children. To be considered, all applicants must submit both a screening form and a full application docket in PDF format.

Step 1: Completion of the screening form available here:

https://docs.google.com/forms/d/e/1FAIpQLScZcw6akzsmE4Zjkm4S722nCQM8xmzLcsQc56vu2__7dKI-Aw/viewform

Step 2: The full application docket in PDF format must include the following:

1. Cover letter
2. Curriculum Vitae
3. Transcript of degree
4. Research Statement
5. Two letters of recommendation

If you have any questions, please email:

Professor Tuka Alhanai, Lab Principal Investigator at tuka.alhanai@nyu.edu.

About NYUAD

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

Location

This position is not located in the United States. You must be willing to relocate to Abu Dhabi, United Arab Emirates.

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

Description

The Division of Engineering at New York University Abu Dhabi, seeks to recruit a motivated postdoctoral associate to work under the supervision of professor Pradeep George in process Optimization, with emphasis on Chemical vapor Deposition (CVD). The successful applicant must have a strong background in the area of Computational Fluid Dynamics. Familiarity with response surface modeling and optimization, is a plus. Experience using commercial codes like ANSYS-FLUENT is desirable. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students. In addition to conducting high-quality innovative research, responsibilities also include publishing research findings in scientific journals and conferences, mentoring undergraduate students, and participate in drafting research grant proposals.

Applicants must have a PhD in mechanical engineering, or closely-related fields. For consideration, applicants need to submit the following in PDF format:

• cover letter,
• curriculum vitae with full publication list,
• statement of research interests,
• contact details of at least three references
• sample relevant publications (if available)

Applications will be accepted immediately, and candidates will be considered until the position is filled. The terms of employment include a highly competitive salary, medical insurance, housing allowance, annual home-leave travel, educational subsidies for children, and other benefits.

If you have any questions, please email prof. Pradeep George, pg66@nyu.edu

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

Open Rank, Professor in Economics, with a priority given to the field of Theoretical or Applied Econometrics, Tenured/Tenure Track

Description

The Economics Program in the Division of Social Science at New York University Abu Dhabi (NYUAD) is inviting applications from economists with an excellent research record. Strong preference will be given to candidates in theoretical or applied econometrics, but outstanding candidates in all fields may be considered. The position comes with generous research support.

About NYU Abu Dhabi

Established in partnership between New York University (NYU) and the emirate of Abu Dhabi, over the last decade, NYUAD has assembled a remarkable community of scholars, students, researchers, artists, inventors, and others who have contributed to the growth of the UAE’s capital as a global hub of knowledge and culture while establishing a new model of higher education for today’s complex world.

NYUAD is animated by inspiring and diverse faculty, students, and staff working together in an exciting and dynamic city. As an international center of excellence in teaching and research, our goal is to attract outstanding faculty who are leaders in their fields, encouraging them to create programs that draw outstanding students and provide an intellectually rich environment.

NYUAD students come from more than 126 countries, with no single nationality exceeding more than 15 percent of the total student population. Likewise, our over 320 faculty members represent more than 45 nationalities and bring a global perspective to their classrooms and research projects. NYUAD is committed to building and strengthening a university-wide culture of inclusion, diversity, belonging and equity (IDBE), which is fundamental to the University’s commitment to excellence. Visit our website for more information on NYUAD’s commitment to IDBE and how these values are fundamental to our mission.

Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. In Economics, we currently offer a Bachelor’s and a MSc degree.

Working for NYUAD

At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for faculty to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.

Qualifications

This position requires a Ph.D. in economics.

Application Instructions

To apply for this position, please submit the following items:

• Curriculum Vitae (CV)
• Cover Letter
• Teaching Statement
• Research Statement
• Recent teaching evaluations (optional)
• Diversity Statement (how you would contribute to inclusion, diversity, belonging, and equity)
• Up to 5 representative publications or other writing samples
• Names and email addresses of 3 references (each will be contacted to upload their reference via Interfolio). Senior candidates may delay having references sent until they know if they are finalists.

We will review applications on a rolling basis and will continue until the position is filled. We will anticipate that successful candidates can start the appointment and relocate to Abu Dhabi in the academic year 2024-2025.

For questions about this position, please email nyuad.socialscience@nyu.edu.

Join NYU Abu Dhabi, an exceptional place for exceptional people.

NYUAD values diversity, inclusion, belonging, and equity; such principles are fundamental to the university's commitment to excellence. NYUAD is an equal opportunity employer. We particularly welcome applications from members of traditionally underrepresented groups, women, and UAE nationals. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission.

@WorkAtNYUAD #nyuadfacultycareers

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

Description

The laboratory of Dr. Djellel Difallah in the Division of Science, New York University Abu Dhabi, seeks a research assistant to join a new lab focused on human-machine learning.

The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and gain pre-doctoral research experience.

The ideal candidate is self-motivated and can work independently, has a passion for AI and its applications, and is willing to learn new technologies. The candidate should have a BS (MS preferred) in Computer Science or another related field. Relevant background and skills include:

• Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Recommender Systems
• Graph Theory/Network Science
• Strong design, development & testing skills
• Python, C , Javascript
• Excellent web development skills
• Experience with probabilistic programming and deep learning frameworks is a plus

For consideration, applicants need to submit a cover letter, curriculum vitae, list of publications (if applicable), a 1-page statement of research interests, and three letters of reference. If you have any questions, please email: dd115@nyu.edu

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

Qualifications

This position is not located in the United States. You must be willing to relocate to Abu Dhabi, United Arab Emirates.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

Description

The Division of Science, Mathematics department at New York University Abu Dhabi is inviting applications for fully-funded research associate position in the following areas:

• Stability of 2D/3D crowd motion and multi-level building evacuation using mean-field-type games.
• Stability of singularity formation in fluid systems.
• Nonlinear instabilities and transition thresholds in Couette flow
• Wave turbulence
• Stability in geophysical fluids and plasmas physics

Applicants must hold a Ph.D. in Applied Mathematics, Physics/Mechanical Engineering with demonstrated expertise in the area of Computational Fluid Dynamics and stability analysis. At least 5 years of post Ph.D. research experience in the field is required. PhD holders with a strong publication record, a background in computational fluid dynamics, laminar to turbulence transition, and vortex dynamics are encouraged to apply. Experience in high-performance computing is required.

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email: nm30@nyu.edu.

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

Assistant/Associate Professor - Collection Development and Instruction Librarian

ID: 1874 Department: Townsend Memorial Library Type: Full-time Faculty Post Date: 04/24/2024 Position Available Date: N/A

Description The University of Mary Hardin-Baylor's Townsend Memorial Library seeks qualified faculty member with an initial appointment at the rank of Assistant or Associate Professor (non-tenure track), commensurate with experience. UMHB seeks faculty who are active Christians and dedicated librarians to prepare students for leadership, service, and faith-informed discernment in a global society.

The Townsend Memorial Library supports instruction, research, creativity, and the advancement and transmission of knowledge as the University prepares students for leadership, service, and faith-informed discernment in a global society.

UMHB is conveniently located in Belton, an historic town of 22,000 in the heart of central Texas. Nearby cities are Temple (5 miles), Waco (45 miles), Austin (65 miles), San Antonio (130 miles) and Dallas/Ft. Worth (130 miles). Excellent schools, abundant cultural and recreational opportunities, and a high quality of life are hallmarks of the local community.

Faculty Responsibilities: Activities required of all faculty include exemplary librarianship, collection development, professional development; and service to the library and the university.

Specific Responsibilities: Oversee the acquisition of all physical materials as well as electronic materials (in conjunction with the Electronic Resources Librarian), according to university policies and guidelines, including the expenditure, processing, payment, and reconciliation of the collections budget.

• Coordinate with subject librarians on selection and collection development matters such as review, withdrawal, duplication, etc.
• Create and communicate reports as requested regarding expenditures, accounting, and budgets.
• Serve as library liaison to selected academic programs.
• Provide Reference and Instruction services as needed.
• Develop procedures and workflows for training and efficiency.
• Participate in professional development activities in collection development and academic librarianship.

Qualifications:

• MLS or MLIS from an ALA-accredited program. New graduates are encouraged to apply.
• Excellent library instruction and communication skills, a dedication to professional development, and commitment to quality improvement are essential.
• Appreciation for and ability to deal positively and sensitively with a variety of patrons.
• Meticulous attention to detail is required.
• Must be an active, and committed Christian.

Salaries and Benefits: Competitive salary commensurate with experience, excellent benefits including medical and dental insurance, retirement plan with match and UMHB tuition benefits for employees and their dependents. Application Deadline: Position will remain open until filled. To Apply: Please click the “Apply Now” link to apply for this position.

Visit www.umhb.edu/careers for more details and to apply. Please submit a cover letter, CV, transcript copies and evidence of quality librarianship with your online application. Your letter of interest should also respond to UMHB's mission and values, found at http://about.umhb.edu/our-mission. In addition, include in one page or less, a description of your own Christian beliefs and commitments.

Review of applications will begin immediately and continue until position is filled.

For information regarding employment at the University of Mary Hardin-Baylor, please visit our Careers Site.

To apply, visit https://umhb.applicantstack.com/x/detail/a2zc18onkda2

Objectif : Nous recherchons activement un stagiaire postdoctoral ou un ingénieur pour diriger le développement d'un système d'imagerie informatique à grande vitesse adapté à l'imagerie hyperspectrale. Cette caméra de pointe doit être développée pour détecter le signal de fluorescence de la Protoporphyrine, notamment dans le cadre de la résection de gliomes. Ce rôle, financé par l'ANR, englobera l'ensemble des responsabilités, de la conceptualisation et de la simulation à la conception du système, en passant par la mise en œuvre pratique et la caractérisation complète. Cette opportunité passionnante impliquera l'acquisition d'hypercubes à partir d'échantillons de gliomes ex vivo et in vivo directement dans la salle d'opération de l'hôpital. Mots clés : Imagerie hyperspectrale, optique géométrique, spectromètre, fluorescence, imagerie mono-pixel , Python, gliome. Contexte : Notre groupe de recherche se consacre à l'avancement des systèmes d'imagerie informatique qui exploitent la synergie des innovations matérielles et logicielles [1, 2], avec un accent spécifique sur l'acquisition de cubes de données hyperspectraux caractérisés par deux dimensions spatiales et une dimension spectrale. À cette fin, nous avons développé une configuration d'imagerie hyperspectrale interne (comme le montre la figure 1a) composée d' un dispositif à micromiroir numérique (DMD), d'un spectromètre et d'une caméra. Dans cette configuration, le spectromètre capture une série de spectres associés à des modèles de lumière prédéfinis chargés sur le DMD, nous permettant de reconstruire le cube de données hyperspectral. Cette conception de système innovante découle de notre objectif principal : optimiser la résection des gliomes pour améliorer l’espérance de vie des patients. Actuellement, l’ablation des gliomes implique une intervention chirurgicale qui consiste à ouvrir la cavité crânienne et à extraire la tumeur. Lors de cette opération, les neurochirurgiens utilisent un microscope à fluorescence pour observer l'émission de Protoporphyrine IX (PpIX), un fluorophore présent sélectivement dans les cellules tumorales. Cependant, le microscope à fluorescence actuel ne peut fournir que des informations sur l'intensité totale de la fluorescence . Notre équipe de recherche a démontré qu’en exploitant le spectre complet de PpIX présent dans les gliomes, il est possible de distinguer les frontières entre tissu tumoral et tissu sain [3]. Par conséquent, notre configuration initiale est transportée vers la salle d'opération du bloc neurochirurgical, nous permettant d'acquérir des cubes de données hyperspectrales à partir de biopsies réalisées au cours de la procédure (comme illustré sur la figure 1b-1). Ces biopsies présentent des caractéristiques spectrales distinctes (comme le montre la figure 1b -2/3) à divers endroits, nous permettant d'identifier la frontière séparant les cellules saines et tumorales. Cette innovation- L’approche efficace est très prometteuse pour améliorer la précision et l’efficacité des procédures de résection des gliomes. Défi : Actuellement, la durée totale d'acquisition est adaptée aux échantillons de biopsie mais s'avère peu pratique pour l'imagerie in vivo, sans parler du manque de résolution spatiale. En réponse, notre groupe de recherche a développé des stratégies d'imagerie compressive visant à réduire le nombre de modèles requis pour l'acquisition, diminuant ainsi la durée totale d'acquisition. Cette approche innovante fait appel à des réseaux de neurones profonds pour reconstruire le cube hyperspectral correspondant à la scène observée. Au fil du temps, nous avons proposé diverses architectures de réseaux profonds [4], chacune conçue pour optimiser le processus de reconstruction hyperspectrale. Ces réseaux se sont révélés très efficaces pour débruiter les données expérimentales obtenues avec notre dispositif d'imagerie hyperspectrale. Même si cela représente une avancée significative, elle reste insuffisante pour des applications cliniques in vivo . Un développement matériel est nécessaire pour améliorer la vitesse en développant une deuxième configuration. Les tâches principales du projet comprennent : • la prise en charge du dispositif optique existant et ses améliorations • le développement du deuxième dispositif optique • le développement du logiciel de contrôle de l'instrumentation (basé sur le package SPAS [5])

l'utilisation d'un algorithme de reconstruction avancé basé sur l'apprentissage profond (basé sur le package spyrit[6]) • la caractérisation du dispositif d'imagerie (par exemple, sensibilité, résolution spatiale et spectrale) Détails du projet Le projet comprend deux tâches principales concurrentes : • Configuration optique Amélioration et imagerie de biopsie : La première tâche consiste à prendre en charge la configuration optique existante et à apporter des améliorations, tant au niveau logiciel que matériel, si nécessaire. La configuration améliorée sera utilisée pour acquérir des cubes de données hyperspectrales à partir de biopsies dans la salle d'opération de l'hôpital. Ces cubes acquis seront analysés et comparés à l'analyse anapathologique. Cette comparaison vise à distinguer les cellules tumorales des cellules saines, fournissant ainsi des informations précieuses pour les applications cliniques. • Développement d'un spectromètre à capteur 2D : La deuxième tâche se concentre sur la création d' une toute nouvelle configuration optique visant à accélérer le processus d'acquisition de données hyperspectrales. Le bras spectral actuel, qui utilise un spectromètre commercial doté d'un capteur 1D, sera remplacé par un spectromètre à capteur 2D sur mesure. Cette nouvelle configuration comprendra un réseau, un prisme et une caméra, permettant la capture simultanée du spectre complet de plusieurs lignes d'image. Contrairement au dispositif actuel, qui acquiert des lignes de manière séquentielle à l’aide d’un capteur linéaire, cette avancée devrait augmenter considérablement la vitesse d’imagerie. A titre d'exemple, une image 64x64 peut être acquise 64 fois plus rapidement qu'avec la configuration existante. Le logiciel d'acquisition sera mis à jour pour gérer les modèles 2D correspondant aux modèles Hadamard 1D qui se répètent dans une direction. Le candidat retenu sera responsable de la construction du spectromètre 2D, impliquant l'utilisation d'une lentille cylindrique pour compresser une dimension spatiale et d'un prisme ou d'un réseau (ou d'une combinaison des deux) pour disperser et diffracter la lumière sur le capteur 2D. Ces deux tâches représentent les éléments essentiels de notre projet, avec le potentiel d' améliorer considérablement nos capacités d'imagerie hyperspectrale et leurs applications pratiques dans le domaine médical. Compétences : Nous recherchons un candidat enthousiaste et motivé possédant une solide expérience en conception de configurations optiques. La maîtrise de la programmation Python est un prérequis pour ce rôle, car elle sera essentielle au développement du capteur 2D. Salaire : entre 2000 € et 2400 € net mensuel selon l'expérience

durée : 18 mois. Comment postuler : Envoyer CV et lettre de motivation à mahieu@creatis.insa-lyon.fr et Bruno. Montcel@creatis.insa-lyon.fr Références [1] G. Beneti Martins, L. Mahieu-Williame, T. Baudier et N. Ducros, « Openspyrit : un écosystème pour l'imagerie hyperspectrale ouverte à un seul pixel », Opt Express, vol. 31, pp. 15599-15614, mai 2023. [2] https://www.creatis.insa-lyon.fr/˜ducros/WebPage/single_pixel_imaging.html . [3] L. Alston, L. Mahieu-Williame, M. Hebert, P. Kantapareddy, D. Meyronet, D. Rousseau, J. Guyotat et B. Montcel, « Complexité spectrale de la fluorescence PpIX induite par le 5-ALA en chirurgie : Une étude clinique vers la discrimination des tissus sains et des limites des marges dans les gliomes de haut et de bas grade », vol. 10, pp. 2478-2492, mai 2019. [4] FP Antonio Lorente Mur, Pierre Leclerc et N. Ducros, « Reconstruction d'images mono-pixels à partir de données expérimentales à l'aide de réseaux de neurones ». Optique Express, Vol. 29, numéro 11, pp. 17097-17110, mai 2021. [5] https://github.com/openspyrit/spas . [6] https://github.com/openspyrit/spyrit .