postdoctoral researcher

Universitätsmedizin Göttingen UMG

Your tasks
<br><br>
<ul>
<li>Conduct an independent research project within a collaborative team</li>
<li>Analyzing T cell biology via optogenetic tools.</li>
<li>Investigating the regulatory mechanisms of ion channels in T cells.</li>
<li>Supervision of students.</li>
<li>Present and communicate research results at national and international scientific meetings.</li>
</ul>
Your qualifications
<br><br>
<ul>
<li>You are a curious and enthusiastic scientist who can work independently but also in a team.</li>
<li>Applicants should hold a PhD in the life sciences, such as immunology or a related subject.</li>
<li>Strong background in T cell biology.</li>
<li>Experience with CRISPR/Cas9 and retro/lentiviral systems for gene knock out and overexpression in primary cells.</li>
<li>Prior experience in conducting animal experiments (mouse models).</li>
<li>Proficiency in single-cell data analysis.</li>
<li>Metabolomics/metabolic profiling is a strong advantage.</li>
<li>A strong track record of publications in peer-reviewed international journals and a strong driving ambition for an academic career.</li>
<li>Excellent English language skills (written and spoken) are required.</li>
</ul>
We offer
<br><br>
<ul>
<li>You will work in a high-impact research field with biomedical relevance embedded in the collaborative environment of the Göttingen Campus including several supportive facilities and inspiring research consortia.</li>
<li>Small, international and diverse research group with a strong team spirit and an open-minded, collaborative and respectful working atmosphere.</li>
<li>The UMG is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.</li>
<li>We further strive for gender and diversity equality. We welcome applications from all backgrounds.</li>
</ul>
We are looking forward to receive your applications including a motivation letter, a CV, certificates and contact details for at least two references compiled as a single PDF via the system. If you have any questions regarding the advertised position, do not hesitate to contact Hao Wu (Email: hao.wu@med.uni-goettingen.de) for further information.
<br><br>
About us
<br><br>
The research group of Dr. Hao Wu at the Department of Gastroenterology, Gastrointestinal Oncology and Endocrinology, University Medical Center Göttingen, Göttingen, Germany is inviting applications for a Postdoctoral researcher (f/m/d) Metabolic regulation of T cell response in chronic infection and tumor microenvironment.
<br><br>
Our research group at the University Medical Center Göttingen (UMG) specializes in immunometabolism, with a particular focus on how viral infections and the tumor microenvironment orchestrate T cell response at the metabolic level. Funding for this position is provided by the “UMG2032 - Excellence through Focus” project, funded by zukunft.niedersachsen, the joint science funding program of the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation.

Postdoctoral researcher (f/m/d)

Rheinische Friedrich-Wilhelms-Universität Bonn

<div></div><div><div><div><div><div><div><div><div><div><div><p><b>Published on:</b> 22.06.2026</p>
</div></div></div></div><div></div><div><div><div><div><p>The University of Bonn is an international research university with a wide education and research profile. With a 200-year history, approximately 31,500 students, more than 6,000 staff, and an excellent reputation at home and abroad, the University of Bonn is one of the most important universities in Germany and is recognized as a university of excellence.</p>
</div></div></div></div><div></div><div><div><div><div><div><p>The Bonn-Aachen International Center for Information Technology &ldquo;b-it&rdquo;, is looking for a temporary position for a period of 1 year in accordance with &sect; 2 (1) WissZeitVG</p>
<p><b>
Postdoctoral Researcher in Psychology / Human&ndash;AI Interaction</b></p></div>
</div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Bonn-Aachen International Center for Information Technology &ldquo;b-it
</b></h3></div></div></div></div><div></div><div><div><div><div><p>The Data Science Lab of Prof. Dr. Lucie Flek at the University of Bonn invites applications for a senior postdoctoral researcher to join the ERC-funded project LLMpathy. The project investigates how psychological traits, values, and social reasoning shape interactions with conversational AI systems such as large language models (LLMs).</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Deadline:</b></p>
</div></div><div></div><div><div><p>July 15, 2026</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Reference number:</b></p>
</div></div><div></div><div><div><p>2025/289</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Working time model:</b></p>
</div></div><div></div><div><div><p>full-time</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Starting date:</b></p>
</div></div><div></div><div><div><p>as soon as possible</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Duration:</b></p>
</div></div><div></div><div><div><p>fixed-term</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Pay grade</b><b>:</b></p>
</div></div><div></div><div><div><p>TV-L EG 13</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Applications to:</b></p>
</div></div><div></div><div><div><p>flek@bit.uni-bonn.de</p>
</div></div></div></div><div></div><div><div><div><div>Job posting (pdf)
</div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Your tasks:
</b></h2></div></div></div></div><div></div><div><div><div><div><ul><li>Design and conduct psychological studies and human-AI interaction experiments,</li>
<li>Develop and evaluate measures related to personality, values, empathy, trust, and social behavior,</li>
<li>Support longitudinal data collection and ensure data quality, reliability, and validity</li>
<li>Analyze behavioral and questionnaire data using quantitative methods,</li>
<li>Collaborate with AI researchers on the evaluation of AI systems,</li>
<li>Co-lead the project, mentor PhD students and contribute to international publications.</li>
</ul></div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>We offer
</b></h2></div></div></div></div><div></div><div><div><div><div><ul><li>Opportunity for further academic qualification,</li>
<li>A salary based on the 13 TV-L scale with the usual social benefits of the public service sector, e.g., health insurance, maternity leave, vacation allowance of 30 days per year,</li>
<li>Participation in the university-wide pension system (VBL),</li>
<li>A varied and challenging position with one of the biggest employers in the area,</li>
<li>Access to the extensive university sports program,</li>
<li>Excellent access by public transport thanks to Bonn&rsquo;s central location as well as the opportunity to take advantage of low-cost parking.</li>
</ul></div></div></div></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Your profile
</b></h2></div></div></div></div><div></div><div><div><div><div><div><ul><li>PhD in psychology, cognitive science, HCI, computational social science, or related field,</li>
<li>Experience with psychological experiments or huma-subject research (e.g. panels),</li>
<li>Experience analyzing behavioral or longitudinal data, quantitative research skills (e.g. IRT, statistical cause-effect analyses) are a plus,</li>
<li>Interest in human-AI interaction and interdisciplinary research,</li>
<li>Strong English writing skills and publication experience,</li>
<li>Ability and willingness to work in a multidisciplinary and international team with appropriate communication skills,</li>
<li>High motivation as well as a structured and independent way of working.</li>
</ul>
<p>We do not expect you to be a machine learning engineer for this position. We are explicitly looking for researcher with strong expertise in psychological methods and human research who are interested in collaborating in an interdisciplinary AI environment.</p>
<p>
This position is embedded in the Lamarr Institute for Machine Learning and Artificial Intelligence and offers close collaboration with researchers in psychology, HCI, AI safety and NLP.</p></div>
</div></div></div></div><div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Diversity and equal opportunity</b></h2>
<p>
The University of Bonn promotes an open, respectful, and non-discriminatory academic culture and is actively committed to equal opportunity and family friendliness. We aim to eliminate structural disadvantages and to strengthen diversity in research, teaching, and administration. Therefore, we welcome all applications, regardless of ethnic or social background, gender, sexual orientation, religion or belief, disability, or age.</p>
<p>
Applications from women and people with a documented severe disability (or equivalent status) will be given preferential consideration in accordance with the State Equality Act (LGG) NRW and Social Code (SGB) IX.</p></div></div></div></div></div></div><div></div>

Postdoctoral Researcher in Psychology / Human–AI Interaction

Universität Duisburg-Essen

<div><div><div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>Duisburg</p>
<h2 class="jobSectionHeader"><b>Application area</b></h2>
<p>Faculty of Physics, Experimenal Physics</p>
<p>Postdoctoral Researcher (f/m/d, Nr. 309-26)
<br>
<b>TV-L 13 (gross 59.324 &euro; - 84.319 &euro;)</b></p>
<p></p><p>In the field of resource-efficient energy conversion, we are seeking a physicist, chemist, or materials scientist (PhD) to strengthen our research activities on chalcogenide materials and multi-optical concepts.</p>
<p></p><h2 class="jobSectionHeader"><b>Start of employment</b></h2>
<p>2026-12-01</p>
<h2 class="jobSectionHeader"><b>Duration of employment</b></h2>
<p>12 months</p>
<h2 class="jobSectionHeader"><b>Working time</b></h2>
<p>39 h 50 min (100 %) (part-time employment is possible)</p>
<h2 class="jobSectionHeader"><b>Your main tasks</b></h2>
<p></p><p>To broaden our research on chalcopyrite solar cells and integrated nanostructures for advanced optoelectronic management, we are looking for a candidate with expertise in chalcogenides and/or nano-optics. We welcome both experimental and computational approaches, as well as their combination.</p>
<p>The position combines contributions to the group's ongoing research activities, participation in teaching (4 SWS), and the development of future research initiatives. In particular, the successful candidate will contribute to the preparation of a competitive research proposal within the initial one-year appointment. Candidates are encouraged to contribute their own scientific ideas and expertise, provided they align with the broader research themes and strategic direction of the group.</p>
<p></p><h2 class="jobSectionHeader"><b>Your profile</b></h2>
<p></p><ul><li>excellent PhD degree in physics, chemistry, materials science, energy science, or a closely related field, providing a strong background in solid-state physics and the optical, electrical, and thermal properties of materials</li>
<li>research experience in chalcogenides and/or nanophotonics</li>
<li>expertise in photovoltaics, particularly CIGSSe, is highly welcome</li>
<li>experience with thin film deposition techniques (PVD, RTP, or printing), nanostructure fabrication, or material and device characterization (SEM, jV) is desirable</li>
<li>enthusiasm for both experimental and theoretical research</li>
<li>experience with numerical simulations (e.g. FEM-based solvers such as Comsol Multiphysics) is an advantage</li>
<li>expertise in proposal writing highly welcome</li>
<li>ability to work independently while contributing effectively within a collaborative research environment</li>
<li>interest in developing innovative research ideas while advancing the strategic goals of the group</li>
<li>excellent communication skills</li>
<li>very good written and spoken English; German language skills are beneficial</li>
<li>proven ability to work abroad or in Europe and willingness to collaborate in an international research environment</li>
</ul><p></p><h2 class="jobSectionHeader"><b>We offer you</b></h2>
<p></p><ul><li>the opportunity to actively shape and advance emerging research directions in renewable energy technologies</li>
<li>a stimulating research environment dedicated to sustainable energy conversion</li>
<li>gain experience in determined scientific research and dissemination</li>
<li>hands-on experience in scientific project development, proposal writing and third-party funding acquisition</li>
<li>further qualification in academic teaching through practical courses, tutorials, and seminars</li>
<li>enhance teaching skills in various scopes (e.g. practical training, tutorials, seminars)</li>
<li>a pleasant, open-minded, and supportive working atmosphere in an interdisciplinary and international team</li>
<li>flexible working hours within the framework of existing working time models and the option to work from home</li>
<li>family-friendly environment with childcare options</li>
<li>advice on family caregiving responsibilities</li>
<li>a wide range of training and professional development opportunities, including personalized onboarding</li>
<li>excellent public transportation access and free parking</li>
<li>attractive sports and wellness programs (university sports)</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Application deadline</b></h2>
<p>2026-08-05</p>
<h2 class="jobSectionHeader"><b>Code number</b></h2>
<p>309-26</p>
<h2 class="jobSectionHeader"><b>Application</b></h2>
<p></p><p>Please send your electronic application documents including cover letter, CV, transcripts and citing the code<b> 309-26</b> to Prof. Dr. Martina Schmid, University of Duisburg-Essen, Fakult&auml;t f&uuml;r Physik, 47057 Duisburg, E-Mail: martina.schmid@uni-due.de. Applications per E-Mail are preferred.</p>
<p></p><h2 class="jobSectionHeader"><b>Information about the job</b></h2>
<p></p><p>Please find more information concerning the faculty and the position at: www.uni-due.de/ag-schmid</p>
</div></div></div><p></p><div><div><div><h2 class="jobSectionHeader"><b>Open minded</b></h2>
<p>We are a young, innovative university located in the heart of the Ruhr metropolis. We pride ourselves in outstanding research and teaching, think in terms of opportunities rather than limitations and develop ideas with a view to the future. Diversity is an integral part of our culture as we promote potential and are committed to upholding genuine equity in education.</p>
<h2 class="jobSectionHeader"><b>Learn more</b></h2>
<p>University of Duisburg-Essen pursues the goal of promoting the diversity of its members.
<br>
www.uni-due.de/diversity/en</p>
<p></p><p>In accordance with the State Equal Opportunities Act, women with the same qualifications are given preferential consideration.</p>
<p>Applications from suitable disabled persons and persons of equal status within the meaning of &sect; 2 para. 3 SGB IX are desired.</p>
<p>By applying for one of the advertised positions, you expressly agree to the requirements in accordance with the General Data Protection Regulation and to being contacted by mail. Further information on data protection can be found <b>here</b>.</p>
<h2 class="jobSectionHeader"><b>Back</b></h2>
www.uni-due.de/karriere</div></div></div></div>

Postdoctoral Researcher (f/m/d, Nr. 309-26)

New York University Abu Dhabi

<div>
 The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics.
 <br/>
 <br/>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include:
 <br/>
 <br/>
 <ul>
  <li>
   multi-modal learning,
  </li>
  <li>
   foundation models, including large language models,
  </li>
  <li>
   agentic AI,
  </li>
  <li>
   multi-agent AI systems,
  </li>
  <li>
   transfer learning,
  </li>
  <li>
   self-supervised learning,
  </li>
  <li>
   and federated learning.
   <br/>
   <br/>
  </li>
 </ul>
 The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Research
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support the supervisor in developing and implementing the research agenda;
  </li>
  <li>
   Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare;
  </li>
  <li>
   Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA);
  </li>
  <li>
   Design and implement experiments to compare proposed work with SOTA baselines;
  </li>
  <li>
   Publish research findings in high-impact journals and conferences;
  </li>
  <li>
   Communicate and present research findings at international academic gatherings;
  </li>
  <li>
   Create, maintain, and document high-quality research code for reproducibility;
  </li>
  <li>
   Maintain good practice in managing and accessing sensitive medical datasets;
  </li>
  <li>
   Assist the supervisor in the preparation of grant applications (as appropriate);
  </li>
  <li>
   And collaborate with scientists within the NYU Global Network and in Abu Dhabi.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Training &amp; professional development*
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Attend trainings and workshops for career development;
  </li>
  <li>
   Mentor PhD students and undergraduate research assistants (as appropriate);
  </li>
  <li>
   Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee;
  </li>
  <li>
   Gain experience in applying for local research grants (subject to eligibility);
  </li>
  <li>
   And transition to independence to pursue a career of choosing following the appointment.
  </li>
  <li>
   The researcher will create a personalized training and development plan with the supervisor.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree)
  </li>
  <li>
   Doctoral research in the area of machine learning and artificial intelligence
  </li>
  <li>
   Bachelor&rsquo;s/ Master&rsquo;s degree in computer science, mathematics, computer engineering, or relevant technical field
  </li>
  <li>
   First-author peer-reviewed published papers (or under review)
  </li>
  <li>
   Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice
  </li>
  <li>
   Experience in maintaining high-quality code on Github
  </li>
  <li>
   Experience in running and managing experiments using GPUs
  </li>
  <li>
   Ability to visualize experimental results and learning curves
  </li>
  <li>
   Effective inter-personal and team-building skills
  </li>
  <li>
   Self-motivated with an ability to work independently and in a team to get the work done
  </li>
  <li>
   Excellent communication skills (oral and written communication)
  </li>
  <li>
   Willingness to learn and confront new challenges
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Doctoral research conducted in the area of machine learning for healthcare and related topics
  </li>
  <li>
   Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning.
  </li>
  <li>
   Experience in dealing with large medical datasets (e.g., electronic health records data or medical images)
  </li>
  <li>
   Ability to use high performance computing cluster
   <br/>
   <br/>
  </li>
 </ul>
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), a transcript or degree, and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 https://nyuad.nyu.edu/en/
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Working for NYUAD
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 <br/>
 <br/>
 <strong>
  Join NYU Abu Dhabi, an exceptional place for exceptional people.
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 @WorkAtNYUAD
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering) - Dr. Farah Shamout

TU Delft

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Postdoc Researcher in Behavioural Modelling and Urban Sustainability Transitions
Are you interested in developing innovative behavioural models to understand how urban mobility policies shape human behaviour, exposure, and environmental outcomes?
Job description
We are seeking a highly motivated Postdoctoral Researcher to join the European UrbanAIR project, an interdisciplinary initiative that aims to support healthier and more sustainable cities by integrating environmental modelling, decision analysis, and behavioural simulation within a digital twin infrastructure.
UrbanAIR develops innovative methods to assess how policy interventions influence urban mobility patterns, air pollution exposure, and population vulnerability.
The postdoctoral researcher will play a central role in connecting behavioural decision-making with environmental exposure assessment through the development of an Agent-Based Model (ABM) of mobility behaviour in Barcelona.
Research Responsibilities
The successful candidate will lead the development of a behavioural model that simulates how individuals make mobility decisions in urban environments and how these decisions evolve in response to policy interventions.
Key responsibilities include:
Designing and implementing a mobility-focused Agent-Based Model for selected neighbourhoods in Barcelona.
Developing and conducting a discrete choice experiment (or related choice modelling approach) to identify behavioural preferences and mobility decision-making processes.
Simulating the effects of policy interventions such as public transport incentives, active mobility measures, pricing schemes, or other behavioural interventions developed in collaboration with decision analysis experts.
Collaborating closely with environmental modelling partners to translate simulated mobility patterns into estimates of population exposure and vulnerability.
Job requirements
 We are looking for candidates with:
A PhD in Transportation, Environmental Psychology, Behavioural Economics, Computational Social Science, Industrial Ecology, Geography, Urban Studies, or a related field.
Demonstrated expertise in choice modelling, such as discrete choice experiments, stated preference methods, or travel behaviour analysis.
Strong quantitative and statistical skills.
Experience in Agent-Based Modelling (e.g., NetLogo, Mesa, Repast, GAMA, AnyLogic, or similar platforms).
Excellent communication skills and ability to work in interdisciplinary teams.
Fluency in English.
The following are considered strong assets:
Experience with urban mobility research.
Experience working with spatial data and GIS.
Knowledge of air quality, environmental exposure, or sustainability transitions.
Experience interacting with policymakers or stakeholders.
TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.
For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.
These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.
At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.
Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.
Faculty Technology, Policy &amp; Management
The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments.
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Conditions of employment
Duration of contract is 2 years full time. Temporary external finance.
A job of 32-40 hours per week.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
An excellent pension scheme via the ABP.
The possibility to compile an individual employment package every year.
Discount with health insurers on supplemental packages.
Flexible working week.
Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget.
Plenty of opportunities for education, training and courses.
Partially paid parental leave
Attention for working healthy and energetically with the vitality program.
Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. .
Additional information
For additional information about this project feel free to contact dr. Amineh Ghorbani, email: a.ghorbani@tudelft.nl.
For information about the application procedure, contact the HR Advisor Martine van de Vorst, email: recruitment-tbm@tudelft.nl.
Application procedure
Are you interested in this vacancy? Please apply no later than 16 August 2026 upload the following documents:
CV
Motivational letter
A copy of your PhD thesis or publications which you are most proud of.
You can address your application to dr. Amineh Ghorbani.
This is an EU funded project, named UrbanAIR with project number 101188131 within the horizon Europe programme.
Please note:
You can apply online. We will not process applications sent by email and/or post.
As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security.
Please do not contact us for unsolicited services.
<br><div><div><div><div><div>Faculty/Department: Faculty of Technology, Policy &amp; Management
</div></div></div></div><div><div><div><div>Salary range: &euro;3546 - &euro;5538
</div></div></div></div><div><div><div><div>Hours per week: 32-40
</div></div></div></div><div><div><div><div>FTE: 1,0
</div></div></div></div><div><div><div><div>Submission is possible until: 16 Aug 2026
</div></div></div></div><div><div><div><div>ID job: 3549
</div></div></div></div></div><div></div>.videocomponenta2f51048d3f8cbf3 a{ border: 1px solid transparent; } .videocomponenta2f51048d3f8cbf3 a:focus{ border: 1px dashed #00a6d6 !important; outline: none !important; }

Postdoc Researcher in Behavioural Modelling and Urban Sustainability Transitions

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><div><p>
A Postdoctoral Associate position is available in the Division of Vascular Surgery&rsquo;s Vascular Intelligence for Translational AI &amp; Learning (VITAL) Lab, Michael E. DeBakey Department of Surgery. The Postdoctoral Associate will focus on clinical data collection, data management, and imaging-based and clinical research in aortic disease. The Postdoctoral Associate must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research.</p><p>
The Postdoctoral Associate will receive training under the guidance of the Principal Investigators and collaborating investigators to conduct prospective or retrospective imaging-based and clinical research projects focused on aortic disease and complex endovascular aortic repairs. Responsibilities include protocol development, study design, data collection and analysis, interpretation of clinical and imaging findings, manuscript preparation, and presentation of research findings at scientific meetings. This position provides an excellent platform for career development and the opportunity to contribute to cutting-edge research in advanced endovascular aortic therapies within a collaborative, multidisciplinary research environment.</p><p></p><p><br>
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Duties</b></h2></div><div><ul><li>
Participates in prospective and retrospective imaging-based and clinical research projects focused on aortic disease and complex endovascular aortic repair, including protocol development, study design, clinical data collection and management, and imaging data organization and analysis.</li><li>
Participates in vascular imaging research that includes CTA/DICOM image acquisition, interpretation, imaging-based outcome analysis, and AI- and digital twin-based research initiatives.</li><li>
Develops research protocols that includes IRB submissions and amendments.</li><li>
Contributes to coordinate multicenter clinical research studies.</li><li>
Works collaboratively and professionally within multidisciplinary teams.</li><li>
Performs data analysis and interpretation of clinical and imaging research findings.</li><li>
Prepares high-quality abstracts, manuscripts, presentations, scientific reports, and other academic materials for peer-reviewed publications and local, national, and international professional conferences.</li><li>
Contributes to scholarly and collaborative research activities.</li><li>
Completes assigned responsibilities accurately and efficiently.</li><li>
Maintains research documentation and data quality standards.</li><li>
Perform other job-duties as assigned.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2></div><div><ul><li>
MD or Ph.D. in Basic Science, Health Science, or a related field.</li><li>
No experience required.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2></div><div><ul><li>
MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research.</li><li>
Experience in clinical or imaging-based research.</li><li>
Familiarity with vascular imaging software, image post-processing, and AI/machine learning applications in clinical or imaging research is desirable.</li><li>
Demonstrates strong written and verbal communication skills, attention to detail, professionalism, and the ability to manage multiple research responsibilities in a timely and organized manner.</li></ul></div></div></div><p></p><p><br>
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</p><p></p><p><br>
Nature; PD; SN</p></div>

Postdoctoral Associate - Aortic Imaging & Clinical Research

<div>
 The Post-doc will be supervised by Professor Samreen Malik and will be part of a research team that works on issues related to development of human capital as well as climate and sustainable development. Some of the topics of interest include how better air quality improves student's health and non-cognitive functions; sleep patterns of children and its relation to their academic achievement; whether households in low income countries adopt water saving technology to overcome water scarcity; whether cleaning air in workplaces impacts worker's productivity. Many of the projects will involve public and private partnership in the UAE and in other countries and the post-doc will be useful for the UAE based partnership, holding meetings, convincing potential partners to collaborate, and present work to the partners and academics. As part of the team, the post-doc will work full-time as co-author on Dr. Malik's projects. The post-doc will also provide Malik&rsquo;s team of researchers and faculty with Data Analytics, Data visualization, Data Management, coding &amp; development and support of research design. As part of Malik&rsquo;s team, there will be hands on experience to learn research methods, experimental designs, tools specifically applied to research in social science but more importantly the post-doc will be involved from the initial stages of project allowing an independent experience of carrying out research from start till end.
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  Principal Accountabilities
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 <ul>
  <li>
   Working with Dr. Malik and her team to advance their research work by providing Data analytics and research analysis support
  </li>
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   Assist researchers with Data management including big data, data mining and database support and development
  </li>
  <li>
   Support and advise researchers on Data visualization
  </li>
  <li>
   Foster Relationships with the UAE public and private entities
  </li>
  <li>
   Support researchers with coding and algorithm development
  </li>
  <li>
   Conduct training, engagement with students for senior thesis (graduate and undergraduate level)
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   <br/>
  </li>
 </ul>
 <em>
  The candidate will also work on individualized research projects under the supervision of the faculty during the duration of his/her tenure.
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 </em>
 <strong>
  Required Education
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 </strong>
 PhD in Economics, Engineering, Computational Science, Statistics, Computational Social Science or equivalent
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 <strong>
  Required Work And Related Experience
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 </strong>
 <ul>
  <li>
   Experience in understanding researcher requirements and translating those requirements into functional and dependable solutions,
  </li>
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   Experience working with data science programming languages like STATA, Python, R
  </li>
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   Experience data management and big data
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   Experience in data visualization
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   Experience in Machine Learning, and AI
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   Some Professional experience working on projects in research environments
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   <br/>
  </li>
 </ul>
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  Preferred Work And Related Experience
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 </strong>
 <ul>
  <li>
   Experience in project management of application development projects.
  </li>
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   Experience in a higher education research institution, especially developing and/or supporting research.
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  </li>
 </ul>
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  Required Competencies
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 </strong>
 <ul>
  <li>
   Strong programming skills in relevant programming languages e.g. STATA, Python, R.
  </li>
  <li>
   Knowledge of scientific analysis, statistical methods and computer related research design and statistical analysis.
  </li>
  <li>
   Knowledge of visualizing research data and familiarity with data visualization tools.
  </li>
  <li>
   Knowledge of data managing including data collection, organization and cleansing
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  <li>
   Knowledge of standard statistical packages such as R, STATA etc.
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  <li>
   Knowledge of with Big data and data mining tools
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  <li>
   Ability to clearly communicate technical concepts to non-technical audience.
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   Ability to keep up to date with technological advances.
  </li>
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   Ability to work in a team-based environment and contribute positively to it.
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   Ability to work on own initiative and as part of a team.
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   Ability to work with individuals at all levels and diplomatically manages their expectations.
  </li>
  <li>
   Creative problem-solving abilities and initiatives.
  </li>
  <li>
   Strong organizational skills.
  </li>
  <li>
   Strong presentation and report writing skills.
  </li>
  <li>
   Excellent communication, interpersonal and analytical skills are essential.
  </li>
  <li>
   Ability to manage conflicting priorities in an effective and professional manner.
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  </li>
 </ul>
 <strong>
  Preferred Competencies
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 </strong>
 <ul>
  <li>
   Knowledge of one or more software source code control systems.
  </li>
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   Ability to work on own initiative and as part of a team.
  </li>
  <li>
   CV
  </li>
  <li>
   Statement of interest in the position
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  <li>
   Transcript of degree(s)
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  <li>
   Two letters of recommendation
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   <br/>
  </li>
 </ul>
 <strong>
  Additional Program Information
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  <br/>
 </strong>
 UAE nationals are encouraged to apply
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 This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html
 <br/>
 <br/>
 Kawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has two distinctive paths designed for (Emirati) graduates considering a graduate degree or a career in research.
 <br/>
 <br/>
 For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)
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 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 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.
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 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Path 2: Postdoctoral Associate – Data Analytics (Economics)

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