Postdoctoral Researcher (m/f/d)

Summary

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. How to apply We look forward to receiving your application through our online application portal only, using the button below. Contact for more information Prof. Dr. Florian Erhard +49 941 943-68608 Florian.Erhard@ur.de 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 Universität Regensburg Universitätsstraße 31 93053 Regensburg

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