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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and develop their individual abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.

At the Faculty of Psychology, Institute of General Psychology, Biopsychology and Methods of Psychology, the Chair of Cognitive Computational Neuroscience offers a project position as

Research Associate (m/w/d)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)

starting July 1 2025 or as soon as possible thereafter. The position is limited until October 31, 2027 with the option of extension in further projects. The period of employment is governed by 搂 2 (2) Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG).
The candidate will work on the DFG-funded project "Neurocomputational mechanisms for approximate decision-making through forward planning and state abstraction." The project investigates how humans learn goal-directed behavior in complex tasks. To achieve this, mathematical and neurocognitive models will be developed to analyze experimental data and generate predictions.

Your tasks:

• develop and implement mathematical models to describe learning and decision-making processes
• apply these models to experimental data (e.g., behavioral experiments, functional magnetic resonance imaging (fMRI) data)
• collaborate closely with an interdisciplinary team of modelers and experimental neuroscientists
• opportunity to design and conduct experiments
• publish research findings in scientific journals

Requirements:

• university degree (M.Sc. or Diplom) in physics, computer science, mathematics, or a related field with a strong quantitative focus
• proficiency in programming, particularly in Python
• interest in cognitive neuroscience and the modeling of cognitive processes
• experience with probabilistic models or probabilistic programming (e.g., PyMC, Stan, Pyro) is desirable
• experience in modeling cognitive neuroscience data or analyzing experimental data is advantageous

Even if you have limited prior experience in cognitive neuroscience, we strongly encourage you to apply if you have strong quantitative and analytical skills.

This position provides an excellent opportunity for candidates who want to work at the intersection of physics, computer science, mathematics, and cognitive neuroscience. You will be supported by an experienced team and have the chance to further develop your modeling skills in a cutting-edge research field.
TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.

Please submit your detailed application with the usual documents by April 30, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal by sending it as a single pdf file to julia.herdin@tu-dresden.de or to: TU Dresden, Fakult盲t Psychologie, Institut f眉r Allgemeine Psychologie, Biopsychologie und Methoden der Psychologie, Professur f眉r Kognitive computationale Neurowissenschaft, Herrn Prof. Stefan Kiebel, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you.

Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website:
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