Postdoctoral Researcher (m/f/d)

Regensburg; Regensburg; Hybrid; EUR 54,000 - 66,000; Part time

Benefits offered by this job

Flexible hours

Partial remote work

Job summary

University of Regensburg invites applications for a Postdoctoral Researcher (m/f/d) in Computational Immunology within the Faculty of Informatics and Data Science. The position focuses on developing statistical and computational methods and leading data-analytical projects in collaboration with international labs.

The role includes publishing in high-impact journals, contributing to open-source software, and mentoring PhD, Master, and Bachelor students, with flexible hours and potential partial

Qualifications

• PhD in bioinformatics or computational biology is required.
• Strong background in statistical modeling, high-dimensional data analysis, and machine learning.
• Advanced programming skills (R, Python, or Java) and familiarity with Git and package development.
• Proven track record of publications in international journals and strong English communication skills.
• Active teaching and mentoring experience is expected; supervisory experience is a plus.
• Hands-on experience with sequencing data analysis (transcriptomics, single-cell genomics) is advantageous.

Responsibilities

• Conceptualization, mathematical derivation, and implementation of novel statistical and computational methods.
• Lead data-analytical projects in collaboration with experimental partners in immunology and virology.
• Publish high-impact scientific papers and present findings at international conferences.
• Contribute to teaching activities in English within the Faculty of Informatics and Data Science.
• Co-supervise and mentor PhD, Master, and Bachelor students.
• Draft grant proposals and maintain open-source scientific software packages.

Job description

Faculty of Informatics and Data Science

Postdoctoral Researcher (m/f/d)

Computational Immunology

• Entry date: as soon as possible
• Volume of Employment: 40h / week
• Salary: TV-L E13
• Duration: for 4 years
• Application deadline: 2026-11-11
• Job-ID: 26.229

We offer:

• An internationally leading, well-funded research environment at the intersection of data science, RNA biology, and immunology
• Access to unique primary datasets through close collaborations with renowned international experimental labs, offering strong potential for high-impact publications
• The opportunity to contribute to and shape our widely used open-source software ecosystem (GRAND-SLAM and PRICE)
• Active support for your academic career development, including opportunities for independent research, grant writing, teaching, and student co-supervision
• State-of-the‑art high‑performance computing infrastructure and an international, interdisciplinary team
• Flexible working arrangements (including flexible hours and partial remote work) to support diverse life situations

Your tasks:

• Conceptualization, mathematical derivation, and implementation of novel statistical and computational methods
• Leading data‑analytical projects in close collaboration with our network of experimental research partners in immunology and virology
• Writing high‑impact scientific publications and presenting research findings at leading international conferences
• Active contribution to teaching activities (lectures, seminars, and practical courses, taught in English) within the study programs of the Faculty of Informatics and Data Science
• Co‑supervision and mentoring of PhD, Master, and Bachelor students in the group
• Assistance in drafting grant proposals and maintaining open‑source scientific software packages

Your profile:

• An excellent doctorate (PhD) in bioinformatics or computational biology is required
• Solid practical and theoretical expertise in statistical modeling, high‑dimensional data analysis, and machine learning is required
• Advanced programming proficiency (preferably in R, Python, or Java) and familiarity with software engineering best practices (e.g., Git, package development) are essential
• A proven track record of scientific publications in international peer‑reviewed journals and excellent English communication skills are required
• Active commitment to academic teaching and student mentoring is expected; prior supervisory experience is a plus
• Hands‑on experience with the analysis of sequencing data (e.g., transcriptomics, single‑cell genomics) is advantageous

Further Information

Our research group is internationally leading in developing computational and statistical methods for metabolic RNA labeling data, with a strong focus on single‑cell technologies (scSLAM‑seq). We combine rigorous statistical modeling and high‑performance software development (e.g., GRAND‑SLAM, PRICE) with cutting‑edge applications in RNA biology, virology, and immunology. Our interdisciplinary team works at the interface of data science and high‑throughput molecular biology, maintaining close collaborations with experimental labs worldwide to decode the temporal dynamics of gene regulation.

The temporary employment is for scientific qualification with a contract duration of 4 years (§ 2 para. 1 WissZeitVG).
The position is suitable for part‑time work.

Contact for more information

Prof. Dr. Florian Erhard

[phone]

[e-mail]

We support women and strongly encourage them to apply.

As a certified family‑friendly university, we support our employees in balancing family and career (more information: https://www.uni-regensburg.de/universitaet/jobs-und-karriere/familien-service).

Applicants with a disability as described in SGB IX (§ 2 Abs. 2, 3) will be preferred in case of equal qualifications.

Please indicate any severe disability in your application, if applicable.

Application and interview costs can not be refunded.

https://karriere.uni-regensburg.de/jobposting/91bd472567bc5524f3b8426d166fd263795bb5a8