Qureos Mentor

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

<div></div><div><div><div><div><div><div><div><div><div><div><p><b>Ver&ouml;ffentlicht am:</b> 11.06.2026</p>
</div></div></div></div><div></div><div><div><div><div><p>The <b>University of Bonn</b> is an international research university offering a broad range of subjects. With a 200-year history, some 31,500 students, more than 6,000 employees and an outstanding reputation in Germany and abroad, the University of Bonn is one of the leading universities in Germany and has been awarded the status of a University of Excellence.</p>
</div></div></div></div><div></div><div><div><div><div><div><p>The newly established Hertz Chair in &ldquo;Astrochemistry&rdquo; within the Transdisciplinary Research Area Matter: Building Blocks of Matter and Fundamental Interactions (TRA 2) is seeking a full-time, permanent</p>
<p><b>
Data Scientist</b></p>
<p>
to start on October 1, 2026.</p></div>
</div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Hertz Chair in &ldquo;Astrochemistry&rdquo;
</b></h3></div></div></div></div><div></div><div><div><div><div><div><p>The field of Astrochemistry is an interdisciplinary field at the interface of Astronomy, Physics, chemistry and Computer Science. Prof Viti's group is at the forefront of astrochemical modelling. We develop innovative methodologies to connect theory and observations. This led over the years to the development and maintenance of an open-source suite of astrochemical and statistical/machine learning codes.</p><br>
<p></p>
<p>
We seek an outstanding candidate who will take the lead on the application of computational methodologies for the group. This includes three core competencies: scientific software engineering, machine learning engineering and data science.</p></div>
</div></div></div></div><div></div><div><div><div><div><p><b>Bewerbungsfrist:</b></p>
</div></div><div></div><div><div><p>05.07.2026</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Kennziffer:</b></p>
</div></div><div></div><div><div><p>2025/273</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Arbeitszeit:</b></p>
</div></div><div></div><div><div><p>full-time</p>
</div></div></div></div><div></div><div><div><div><div><p><b>T&auml;tigkeitsbeginn:</b></p>
</div></div><div></div><div><div><p>October 1, 2026</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Laufzeit:</b></p>
</div></div><div></div><div><div><p>permanent</p>
</div></div></div></div><div></div><div><div><div><div><p><b>Entgeltgruppe:</b></p>
</div></div><div></div><div><div><p>TV-L EG 13</p></div></div></div></div><div></div><div><div><div><div><br>
</div></div></div></div><div></div><div><div><div><div>
</div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Ihre Aufgaben
</b></h2></div></div></div></div><div></div><div><div><div><div><div><ul><li>Develop and maintain the in-house Astrochemical codes,</li>
<li>Support the group in the exploitation and interpretation of large observational and computational datasets,</li>
<li>Research and keep up with the Data Science literature that could benefit the group.</li>
</ul>
<p><b>Potential areas of responsibility:</b></p>
<ul>
<li>Development and maintenance of the in-house Astrochemical codes,</li>
<li>Machine learning and artificial intelligence applied to astronomical data,</li>
<li>Advanced statistical and probabilistic inference methods,</li>
<li>Scalable algorithms for the analysis of large observational, simulated, or laboratory data sets,</li>
<li>Efficient use of high-performance computing (HPC) on platforms ranging from local university clusters, first tier national HPC facilities and cloud-based platforms,</li>
<li>Data management, archiving, and reproducible research practices.</li>
</ul>
<p>We welcome candidates whose expertise bridges astronomy and data science &mdash; whether through the development of new computational methods, the application of such techniques to cutting-edge data, or both.</p></div>
</div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Wir bieten
</b></h2></div></div></div></div><div></div><div><div><div><div><ul><li>A varied and challenging role with one of the region&rsquo;s largest employers, job security, and a commitment to the local community,</li>
<li>Flexible working hours (including the option to work from home to a certain extent),</li>
<li>An international work environment,</li>
<li>Opportunities for continuing education and professional development,</li>
<li>Occupational pension (VBL),</li>
<li>Many options available for university sports,</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>
<li>Remuneration in accordance with TV-L pay grade 13.</li>
</ul></div></div></div></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Ihr Profil
</b></h2></div></div></div></div><div></div><div><div><div><div><ul><li>A PhD in Astronomy, Astrophysics, Physics, Computer Science, or a closely related field or proven equivalent knowledge and experience,</li>
<li>Python experience,</li>
<li>Familiar with git, Github and Gitlab,</li>
<li>Fortran experience,</li>
<li>Experience with at least one machine learning framework (Tensorflow, Pytorch or Jax) is advantageous,</li>
<li>Experience with CI/CD and test driven development,</li>
<li>Experience maintaining an (open source) research code,</li>
<li>Enthusiasm for collaborative research within a University group.</li>
</ul></div></div></div></div><div></div><div><div><div><div>
</div></div></div></div><div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Diversit&auml;t und Chancengleichheit</b></h2>
<p>
Die Universit&auml;t Bonn f&ouml;rdert eine offene, wertsch&auml;tzende und diskriminierungsfreie Hochschulkultur und setzt sich aktiv f&uuml;r Chancengerechtigkeit sowie Familienfreundlichkeit ein. Wir streben an, strukturelle Benachteiligungen abzubauen und die Vielfalt in Forschung, Lehre und Verwaltung zu st&auml;rken. Daher begr&uuml;&szlig;en wir alle Bewerbungen, unabh&auml;ngig von ethnischer oder sozialer Herkunft, Geschlecht, sexueller Orientierung, Religion oder Weltanschauung, Behinderung sowie Alter.</p>
<p>
Bewerbungen von Frauen sowie Menschen mit Schwerbehinderung und ihnen gleichgestellten Personen werden im Rahmen des Landesgleichstellungsgesetz (LGG) NRW und des Sozialgesetzbuchs (SGB) IX bevorzugt ber&uuml;cksichtigt.</p></div></div></div></div></div><div></div><div><div><div><div><div><br>
</div></div></div><div></div><div><div><div>
</div></div></div></div></div><div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Kontakt
</b></h2></div></div></div></div><div></div><div><div><div><div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Professor Viti</b></h3>
<p>
E-Mail: sviti@uni-bonn.de</p></div></div></div></div></div></div></div></div></div></div></div><div></div>

Data Scientist (m/f/d)

<div><p>The University of Bonn is an international research university offering a broad range of subjects. With a 200-year history, some 31,500 students, more than 6,000 employees and an outstanding reputation in Germany and abroad, the University of Bonn is one of the leading universities in Germany and has been awarded the status of a University of Excellence.
</p><p>The newly established Hertz Chair in &ldquo;Astrochemistry&rdquo; within the Transdisciplinary Research Area Matter: Building Blocks of Matter and Fundamental Interactions (TRA 2) is seeking a full-time, permanent
</p><h3 class="jobSectionHeader"><b>Data Scientist
</b></h3><p>to start on October 1, 2026.
</p><p></p><p>The field of Astrochemistry is an interdisciplinary field at the interface of Astronomy, Physics, chemistry and Computer Science. Prof Viti's group is at the forefront of astrochemical modelling. We develop innovative methodologies to connect theory and observations. This led over the years to the development and maintenance of an open-source suite of astrochemical and statistical/machine learning codes.<br>
</p><p></p><p>We seek an outstanding candidate who will take the lead on the application of computational methodologies for the group. This includes three core competencies: scientific software engineering, machine learning engineering and data science.
</p><p>Potential areas of responsibility:
</p><ul><li>Development and maintenance of the in-house Astrochemical codes,
</li><li>Machine learning and artificial intelligence applied to astronomical data,
</li><li>Advanced statistical and probabilistic inference methods,
</li><li>Scalable algorithms for the analysis of large observational, simulated, or laboratory data sets,
</li><li>Efficient use of high-performance computing (HPC) on platforms ranging from local university clusters, first tier national HPC facilities and cloud-based platforms,
</li>Data management, archiving, and reproducible research practices.<br>
<li>
</li></ul><p><br>
We welcome candidates whose expertise bridges astronomy and data science &mdash; whether through the development of new computational methods, the application of such techniques to cutting-edge data, or both.<br>
</p><p></p><p>Your tasks:
</p><ul><li>Develop and maintain the in-house Astrochemical codes,
</li><li>Support the group in the exploitation and interpretation of large observational and computational datasets,
</li>Research and keep up with the Data Science literature that could benefit the group.<br>
<li>
</li></ul><p><br>
Requirements:
</p><ul><li>A PhD in Astronomy, Astrophysics, Physics, Computer Science, or a closely related field or proven equivalent knowledge and experience,
</li><li>Python experience,
</li><li>Familiar with git, Github and Gitlab,
</li><li>Fortran experience,
</li><li>Experience with at least one machine learning framework (Tensorflow, Pytorch or Jax) is advantageous,
</li><li>Experience with CI/CD and test driven development,
</li><li>Experience maintaining an (open source) research code,
</li>Enthusiasm for collaborative research within a University group.<br>
<li>
</li></ul><p><br>
We offer:
</p><ul><li>A varied and challenging role with one of the region&rsquo;s largest employers, job security, and a commitment to the local community,
</li><li>Flexible working hours (including the option to work from home to a certain extent),
</li><li>An international work environment,
</li><li>Opportunities for continuing education and professional development,
</li><li>Occupational pension (VBL),
</li><li>Many options available for university sports,
</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>Remuneration in accordance with TV-L pay grade 13.<br>
<li>
</li></ul><p><br>
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><p>If you are interested in this position, please submit your complete and detailed application materials by 05.07.2026, citing reference number 2026/273, using the online application form . For further information, please contact Professor Viti (sviti@uni-bonn.de).</p></div>

Data Scientist

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Rheinische Friedrich-Wilhelms-Universität Bonn

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Postdoctoral Researcher in Psychology / Human–AI Interaction

Data Scientist (m/f/d)

Data Scientist