Postdoctoral Scholar (m/f/x) in Analysis of Learning Dynamics

Ruhr-Universität Bochum; Bochum; Vor Ort; EUR 53.000 - 65.000; Vollzeit

Zusammenfassung

A leading research university in Bochum is seeking a Postdoctoral Scholar to analyze learning dynamics in computational neuroscience. This full-time position requires a doctoral degree in a relevant field and strong programming skills, particularly in Python. Successful candidates will engage in a collaborative research environment, focusing on developing algorithms to analyze complex learning data. The role offers the opportunity for significant professional development and independence.

Leistungen

Support in combining family life and work

Extensive training and professional development opportunities

Challenging and varied tasks

Qualifikationen

• Excellent doctoral degree in neuroscience, physics, mathematics, engineering, or a related field.
• Competence in mathematical modeling.
• Excellent programming skills, e.g., Python.

Aufgaben

• Analyze neural and behavioral data to compare learning dynamics.
• Provide theoretical support.
• Coordinate analyses.

Kenntnisse

Mathematical modeling

Programming skills (Python)

Research experience in neuroscience

Experience in study of learning dynamics

Collaboration experience

Ausbildung

Doctoral degree in neuroscience or related field

Jobbeschreibung

Faculty of Computer Science : Chair of Computational Neuroscience

In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) 01.03.2026, we are looking for a Postdoctoral Scholar (m/f/x) in Analysis of Learning Dynamics.

Postdoctoral Scholar (m/f/x) in Analysis of Learning Dynamics

The Computational Neuroscience group, led by Prof. Dr. Sen Cheng, investigates the neural and cognitive mechanisms underlying episodic memory and spatial navigation. The group is embedded in the Institute for Neural Computation, which integrates diverse core competencies spanning experimental and theoretical neuroscience, machine learning, and robotics. More broadly, Ruhr-University Bochum offers a vibrant research environment in neuroscience and cognitive science.

The successful candidate (m/f/x) will work within Project F01 of the SFB 1280, with the primary task of developing advanced algorithms to analyze learning dynamics. The role is highly collaborative.

Scope: full-time
Duration: fixed-term, until 30.06.2029
Start: 01.03.2026
Apply by: 2025-12-08

Your tasks:

• Analyzing neural, psychophysiological, and behavioral data from other projects within the SFB 1280 to compare learning dynamics across individuals, species, and paradigms
• Providing theoretical support
• Coordinating analyses

Your profile:

• An excellent doctoral degree in neuroscience, physics, mathematics, engineering, or a related field (mandatory)
• Competence in mathematical modeling (mandatory)
• Excellent programming skills, e.g., Python (mandatory)
• Relevant research experience in neuroscience or a related field is required
• Experience in the study of learning dynamics
• Experience working within a collaborative research group

We offer:

• Challenging and varied tasks with a high level of independence
• Collaboration in a committed and appreciative team
• Support in combining family life and work (including childcare arrangements, holiday offers, "mobile playroom")
• Extensive training and professional development opportunities

Further information:

The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L.

Further information can be found at https://oeffentlicher-dienst.info/ (in German).

The place of work is Ruhr University Bochum. If the position is funded by third-party funds the employee has no teaching obligation.

Please include a cover letter, CV, transcripts (bachelor and master) and a research statement with your application. In addition, at least two academic references may be sent independently to Attention: Vinita Samarasinghe at [e-mail]. Applications must be submitted via the application tool. Unfortunately, applications received by email cannot be considered. The recruitment is subject to funding approval (decision by the DFG on November 20, 2025).

RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees.

German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF). https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en

The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact [e-mail].

The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum’s declared aim.

The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.

Contact persons for further information:

Vinita Samarasinghe
Tel.: [phone]

Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed.

We look forward to receiving your application via our online application portal by 2025-12-08. Please make sure to mention the reference number ANR 5150.