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research assistant

United Arab Emirates University, Department of Family Medicine

<div>
 
 Job Description
 
 
 
 The Electrical and Communication Engineering Department at the United Arab Emirates University is seeking a research assistant in the area electromagnetic scattering and absorption. The research assistant should be knowledgeable of fundamental concepts of electromagnetics theory and mathematical programing. Preferred a candidate with an M.S. or Ph.D. qualification.
 
 
 Minimum Qualification
 
 
 An appropriate educational degree supplemented with documented evidence to support the following:
 
 
 <ul>
 <li>
 Mathematical programming tools (i.e., Mathematica, MATLAB, etc.).
 </li>
 <li>
 Ability to conduct literature review.
 </li>
 <li>
 Ability to use LaTeX software for preparing manuscripts.
 </li>
 <li>
 Ability to process and analyze data.
 </li>
 <li>
 Good technical writing skills.
 </li>
 <li>
 Flexible approach and initiative in executing the role.
 
 
 </li>
 </ul>
 
 Preferred Qualification
 
 
 
 <ul>
 <li>
 Demonstrable willingness to write and publish journal papers in prestigious journals.
 </li>
 <li>
 Be adaptable and flexible to the continuous changes associated with research demands.
 
 
 </li>
 </ul>
 Special Instructions to Applicant
 
 
 Submit a detailed CV
 
 
 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 31/08/2026
 
 
 Apply
 
 
 Department
 
 
 Division
 
 
 Grade
 
 
 Posting Number
 
 
 Position Number
</div>

Research Assistant (Electromagnetics)

New York University Abu Dhabi

<div>
 Political scientists at New York University Abu Dhabi (NYUAD) are looking to hire a full-time junior or assistant research Scientist &ndash; equivalent to a research assistant/associate at other institutions &ndash; to start in September 2026. The position entails data management, replication, and visualization as well as literature reviews and light text editing. There might be an opportunity for co-authorships for a qualified candidate.
 
 
 A successful candidate must have advanced data analysis skills in R and Stata, experience with data visualization in R, and GIS data work in R and/or ArcGIS. The candidate must be self-motivated, an independent thinker, fluent in English, and have well-developed writing skills.
 
 
 The position is open to applicants with a master&rsquo;s degree in any social science discipline, quantitative data analysis, or statistics, and with less than 5 years of research experience in the relevant field, and/or PhD degree with any level of experience. Candidates with qualifications in or familiarity with political science are preferred.
 
 
 This is a full-time position based at NYU&rsquo;s campus in Abu Dhabi. The appointment will run from September 2026 until August 2027 with a possibility of extension.
 
 
 The terms of employment are competitive and include housing and educational subsidies for children. To be considered, all applicants must submit a cover letter, curriculum vitae, research statement, transcript of degree, and the names of at least two referees, all in PDF format. If interested, please apply on Interfolio by April 10, 2026. For any questions feel free to reach out to Leonid Peisakhin lvp2@nyu.edu , Peter van der Windt pvd2@nyu.edu, and Christopher Paik cp92@nyu.edu.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 Students are drawn from among the world&rsquo;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.
 
 
 
 Working for NYUAD
 
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff 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 research staff 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.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 @WorkAtNYUAD
 
 
 
 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 and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Junior/Assistant Research Scientist in the Division of Social Science (Political Science) - Dr. Leonid Peisakhin

<div>
 The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning.
 
 
 Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code.
 
 
 Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines).
 
 
 In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance. In some situations, some optimizations are harmful to performance while they are beneficial in other situations. Currently, there is no way to help users choose which optimizations should be used. Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations.
 
 
 The goal of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs.
 
 
 Candidates must hold a bachelor&rsquo;s degree or equivalent in Computer Science, though a master&rsquo;s degree is preferred. The ideal candidate will have Internship or experience in the areas of compilers and artificial intelligence.
 
 
 For consideration, applicants need to submit a cover letter, curriculum vitae, transcript, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Riyadh Baghdadi at baghdadi@nyu.edu or mrasras@nyu.edu.
 
 
 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.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 UAE Nationals are encouraged to apply.
 
 
 References
 
 
 [1] http://tiramisu-compiler.org/
 
 
 
 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 and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Junior Research Scientist in the Division of Science (Computer Science) – Dr. Riyadh Baghdadi

<div>
 The Deep Learning laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a research assistant to work on Deep Reinforcement Learning (DRL). The successful applicants will lead the labs efforts in action-less design, continual learning, planning with world models, and contrastive RL. Our laboratory has expertise in deep learning, including deep reinforcement learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications in the future. The work will involve designing algorithms, running experiments on the HPC, analyzing the results and improving the algorithms. It will also involve extensive literature reviews.
 
 
 Applicants must have an undergraduate degree in computer science, have significant experience with deep learning with PyTorch, and have expertise in reinforcement learning. The applicant should have already completed several major projects in DRL. The applicant should also possess excellent mathematical and English skills. 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 contact Dr. Keith Ross: keithwross@nyu.edu
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 Students are drawn from among the world&rsquo;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.
 
 
 
 Working for NYUAD
 
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff 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 research staff 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.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 @WorkAtNYUAD
 
 
 
 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 and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Junior Research Scientist in the Division of Science (Computer Science) - Dr. Keith Ross

<div>
 The Prof. Sunil Kumar&rsquo;s Research Group in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata.
 </li>
 <li>
 Build and evaluate monocular depth pipelines and implement multimodal retrieval with re-rankers for robust profile selection.
 </li>
 <li>
 Design and train advanced AI models for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation.
 </li>
 <li>
 Work with 3D datasets, time-series sensors, and multi-omics or assay data to create predictive models and digital twin prototypes.
 </li>
 <li>
 Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training.
 </li>
 <li>
 Plan, run and analyze pilot studies (SME pilots and lab validation); participate in data collection, annotation and lab assay coordination.
 </li>
 <li>
 Write up results and contribute to publications, technical reports and presentations for academic and non-academic stakeholders.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in computer science, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline.
 </li>
 <li>
 Solid experience training and evaluating AI models.
 </li>
 <li>
 Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
 </li>
 <li>
 Experience with dataset curation, annotation workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, and GPU/HPC training.
 </li>
 <li>
 Familiarity with 3D data processing or willingness to learn quickly.
 </li>
 <li>
 Publications, thesis work, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML.
 </li>
 <li>
 Familiarity with uncertainty quantification and model explainability methods.
 </li>
 <li>
 Strong software engineering practices: Git, reproducible experiments, modular code, deploying models in cloud (AWS/GCP) and containerized services (Docker, Kubernetes).
 </li>
 <li>
 Good written and verbal communication skills and ability to work collaboratively across interdisciplinary teams.
 
 
 </li>
 </ul>
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Prof. Prabodh Panindre at prabodh@nyu.edu.
 
 
 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. Please visit our website at https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html for instructions and information on how to apply.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 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 and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Junior Research Scientist in the Division of Engineering - Drs. Sunil Kumar and Prabodh Panindre

Khalifa University

<div>
 
 The responsibilities of faculty members shall be an appropriate combination of:
 
 
 a) Dissemination of knowledge through undergraduate and / or graduate teaching; and
 
 
 b) Research, scholarly or other creative activities; and
 
 
 c) University, community, and professional services
 
 
 
 
 
 
 We are open to consider applications at Assistant/Associate and Full Professor.
 
 
 
 
 
 
 
 
 
 
 Key Roles &amp; Responsibilitie
 
 s:
 
 
 Teaching:
 
 
 &bull; Teach at undergraduate and graduate level in subject areas and on time schedules allocated by the Chair of Department
 
 
 &bull; Prepare teaching material including course outline, syllabus and lesson plans. Revise the subject matter on a regular basis as appropriate for that subject
 
 
 &bull; Contribute to the development, planning and implementation of a high quality curriculum
 
 
 &bull; Provide students with detailed syllabus, methods of instruction and evaluation in their courses
 
 
 &bull; Engage in the selection of textbooks and other teaching aids necessary to the instruction of courses
 
 
 &bull; Monitor students&rsquo; performance in their subject areas and provide remedial classes when necessary
 
 
 &bull; Set and mark exams, coursework, assignments, laboratory work, homework, and any other relevant activity
 
 
 &bull; Use up-to-date instructional technology and ensure the delivery is clear and consistent
 
 
 &bull; Supervise students&rsquo; research and practical work and of their theses preparation, as well as participate in evaluation of their theses
 
 
 &bull; Participate in professional peer reviews
 
 
 &bull; Supervise teaching internships
 
 
 &bull; Develop and improve their scholarly competence and effectiveness as teachers within their area of expertise.
 
 
 
 
 
 Research, Scholarly and Creative Activities:
 
 
 &bull; Carry out research and produce publications, or other research outputs, in line with personal objectives agreed in the review process
 
 
 &bull; Engage in scholarly or creative activities in their area of expertise and makes results available or critical peer review
 
 
 &bull; Deliver papers at professional association meetings, seminars and conferences
 
 
 &bull; Participate in panels at regional and international meetings of professional organizations
 
 
 &bull; Identify and successfully bid for external funding and grants
 
 
 &bull; Actively raise the Department and Faculty&rsquo;s profile, internally and externally
 
 
 &bull; Participate in departmental and faculty seminars aimed at sharing research outcomes and building interdisciplinary collaboration within and outside the department
 
 
 &bull; Collaborate with colleagues, both within and outside the University, in conducting and managing research and consultancy activities
 
 
 
 
 
 Academic Service:
 
 
 &bull; Play an active role in departmental, or University-wide working groups or committees as requested
 
 
 &bull; Contribute to student recruitment, retention and placement efforts
 
 
 &bull; Foster service by contributing to the community at large in participatory, developmental or advisory capacity
 
 
 &bull; Support and participate in student organization activities
 
 
 &bull; Adhere to the University's information security and confidentiality policies and procedures, and report breaches or other security risks accordingly
 
 
 &bull; Coordinate with other departments to facilitate the accomplishment of tasks and responsibilities, as and when needed
 
 
 &bull; Contribute to the academic community through peer review, editorial roles, and professional organizations.
 
 
 &bull; Engage in outreach, collaboration, and public engagement activities.
 
 
 &bull; Demonstrate a strong commitment and practice to maintaining a safe and healthy work environment
 
 
 &bull; Perform any other tasks assigned by the Line Manager
 
 
 
 
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 A minimum of 8 years of academic or research experience relevant to environmental health, out of which at least 5 years should be at the level of Assistant Professor or equivalent research leadership role.
 </li>
 <li>
 PhD or equivalent terminal degree, in Environmental Epidemiology, Epidemiology, Public Health or closely related discipline from an accredited institution.
 </li>
 <li>
 Candidates with interdisciplinary training integrating environmental exposures, population health and quantitative epidemiology are strongly preferred.
 </li>
 </ul>
 
 
 
 
 Applicants should demonstrate:
 
 <ul>
 <li>
 A strong record of peer-reviewed publications in high-impact journals in environmental epidemiology, environmental health or population health
 </li>
 <li>
 Demonstrated expertise in environmental exposure assessment including but not limited to:
 </li>
 <li>
 Air pollution
 </li>
 <li>
 Climate change and health
 </li>
 <li>
 Built environment and urban health
 </li>
 <li>
 Chemical and occupational exposures
 </li>
 <li>
 Environmental determinants of chronic and infectious diseases
 </li>
 <li>
 Experience in conducting population-based epidemiological studies, including cohort, cross-sectional or case-control designs
 </li>
 <li>
 Strong proficiency in advanced statistical and epidemiological methods including:
 </li>
 <li>
 Longitudinal data analysis
 </li>
 <li>
 Spatial epidemiology
 </li>
 <li>
 Time-series analysis
 </li>
 <li>
 Causal inference methods
 </li>
 <li>
 Demonstrated ability to secure competitive external research funding from national or international agencies
 </li>
 <li>
 Experience supervising graduate students (MPH and/or PhD) and mentoring early-career researchers.
 </li>
 <li>
 Experience leading or collaborating on multidisciplinary research projects involving environmental science, climate science, epidemiology or public health
 </li>
 <li>
 Experience working with large datasets, environmental monitoring data, GIS platforms or remote sensing data is highly desirable
 </li>
 <li>
 Experience conducting research relevant to environmental health challenges in arid, urban, or rapidly developing regions, particularly the Middle East or Gulf region, is an advantage.
 </li>
 </ul>
</div>

Associate Professor- Public Health and Epidemiology

Abu Dhabi University

<div>
 
 College of Law, Abu Dhabi University, UAE
 
 
 
 Abu Dhabi University is a global leader in research and teaching, and is ranked in the Top-250 in the latest 2026 Times Higher Education rankings. The College of Law at Abu Dhabi University is contributing to academic excellence nationally and internationally, and is ranked by subject in the
 
 top 251&ndash;300 globally
 
 in the QS World University Rankings by Subject (Law). We are currently seeking a new Faculty member in the area of Administrative and Constitutional Law.
 
 
 The College of Law is a regional leader in legal education, offering a Bachelor of Law, a Master of Public Law, a Master of Private Law, and a Master of Laws (MLL) in Cyber Law and Artificial Intelligence, and a PhD in Law. Our programs are CAA and WASC-accredited. Our curriculum, primarily in Arabic and with English, reflects our commitment to academic excellence and cultural diversity. Applicants should be able to teach in English and Arabic, and applicants with English only are also encouraged to apply.
 
 
 Abu Dhabi University offers a competitive remuneration package that includes tax free salary, annual flights for self and immediate family, family housing, children&rsquo;s education allowance, private health insurance and end of service benefits
 
 .
 
 
 
 
 Criteria You Must Have
 
 
 
 
 Applications that do not meet these criteria will not be considered.
 
 
 
 <ul>
 <li>
 Minimum Years of Experience Required/ Nature of Relevant Experience Required
 </li>
 <li>
 Assistant Professor
 </li>
 <li>
 Have a doctoral or equivalent qualification from an accredited institution.
 </li>
 <li>
 Have demonstrated significant scholarly accomplishments appropriate to his/her discipline.
 </li>
 <li>
 Have demonstrated excellent teaching ability and shown continuing active engagement with students in and outside the classroom.
 </li>
 <li>
 Special Skills and abilities
 </li>
 <li>
 Communication/Teaching Skills, Presentation Skills, Computer Skills (Microsoft Office)
 </li>
 <li>
 Have a teaching qualification or be willing to complete one under the UK HEA Fellowship Scheme.
 </li>
 <li>
 Demonstrated commitment to publishing Scopus publications (and include Scopus, GoogleScholar and/or reserachgate profile).
 </li>
 <li>
 Clear engagement with research networks (evidence-based).
 </li>
 <li>
 Demonstration of being a &lsquo;good University citizen&rsquo;
 
 
 </li>
 </ul>
 Applicants Should Submit Online Via The University Link In English And In 1 PDF File, You Should Include The Following 3 Items Below
 
 
 <ul>
 <li>
 Cover Letter, addressing how your experience matches position requirements.
 </li>
 <li>
 Curriculum Vitae that includes education, teaching and research experience with a list of publications. Please include a link to your Googlescholar and Scopus profiles in your CV.
 </li>
 <li>
 Please include a 2-page research proposal stating what research you will conduct over the next 2-4 years while at the College of Law.
 
 
 </li>
 </ul>
 
 Application Deadline:
 
 Applications will be reviewed until January 23rd at 17.00, and interviews will happen after this date.
</div>

Assistant Professor in Administrative and Constitutional Law

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