Doctoral Researcher (Ph.D. candidate) (m/f/d)

Universität Regensburg Land Bayern; Regensburg; Hybrid; EUR 48.000 - 64.000; Vollzeit

Benefits dieser Stelle

Conference travel support

Partial remote work

Mentoring and training

Zusammenfassung

The University of Regensburg invites applications for a Doctoral Researcher (Ph.D. candidate) in Computational Immunology within the Faculty of Informatics and Data Science.

The position focuses on statistical methods and software for single-cell RNA sequencing data (scSLAM-seq) and contributes to open-source tools GRAND-SLAM and grandR. You will work in an internationally leading group, with mentoring, conferences, and flexible hours including partial remote work, and you will pursue a doctoral

Qualifikationen

• A university degree (Master’s or equivalent) in bioinformatics, statistics, computer science, data science, physics, or a related quantitative field is required.
• Solid knowledge of statistical methods and practical programming experience (preferably in R, Python, or Java).
• Good English communication, motivation, and willingness to conduct interdisciplinary research bridging data science and biology.
• Prior experience with biological high-throughput molecular data (bulk or single-cell RNA-seq) is desired.
• Familiarity with Git and reproducible workflows; basic knowledge of RNA biology and immunology is beneficial.

Aufgaben

• Development and implementation of statistical methods and algorithms for single-cell RNA sequencing data, focusing on metabolic RNA labeling (scSLAM-seq).
• Application of developed computational tools to data generated by our network of collaboration partners.
• Contributing to the maintenance and extension of our software packages (GRAND-SLAM / grandR).
• Publication of research results in peer-reviewed journals and presentations at international conferences.
• Pursuit of a doctoral degree (Dr. rer. nat. / PhD) with structured supervision.

Kenntnisse

Statistical methods

Programming

English communication

Interdisciplinary research

Data science

Ausbildung

Master’s degree or equivalent

Tools

Git

Reproducible workflows

R

Python

Java

Jobbeschreibung

Faculty of Informatics and Data Science

Doctoral Researcher (Ph.D. candidate) (m/f/d)

Computational Immunology

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, grandR) with cutting-edge applications in RNA kinetics, 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.

Details

• Entry date: as soon as possible
• Volume of employ-ment: full-time 40 h / week (part‑time suitable)
• Salary: TV-L E13
• Duration: limited to 3 years*

We offer:

• A dedicated DFG-funded research project focused on novel method development with a strong potential for high-ranking publications
• Close integration into an internationally leading research group specializing in computational methods for metabolic RNA labeling and single-cell genomics
• Direct contribution of your methodological work to established open-source tools (GRAND-SLAM/grandR) used by researchers worldwide
• Structured, close mentoring and comprehensive training in theoretical and practical bioinformatics, statistical modeling, and interdisciplinary communication
• Full financial support for presenting your research at national and international conferences
• Flexible working arrangements (including flexible hours and partial remote work) to support diverse life situations

Your tasks:

• Development and implementation of statistical methods and algorithms for single-cell RNA sequencing data, with a special focus on metabolic RNA labeling (scSLAM-seq)
• Application of developed computational tools to data generated by our network of collaboration partners
• Contributing to the maintenance and extension of our software packages (e.g., GRAND-SLAM / grandR)
• Publication of research results in peer-reviewed scientific journals and presentations at international conferences
• Pursuit of a doctoral degree (Dr. rer. nat. / PhD) supported by structured supervision

Your profile:

• A university degree (Master’s or equivalent) in bioinformatics, statistics, computer science, data science, physics, or a related quantitative field is required
• Solid theoretical knowledge of statistical methods and practical programming experience (preferably in R, Python, or Java) are required
• Good communication skills in English, a high degree of intrinsic motivation, and the willingness to conduct interdisciplinary research bridging data science and biology are expected
• Prior experience in working with biological high-throughput molecular data (e.g., bulk or single-cell RNA-seq) is desired
• Familiarity with software development tools (e.g., Git, reproducible workflows) and basic knowledge of RNA biology and immunology is beneficial

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: ). Applicants with a disability as discribed 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.

Contact for more information:

Contact person: Dr. Florian Erhard, mail: , phone: [phone]

* "This position is available for a fixed term of three years within the framework of the project "Unraveling crosstalk of virus infection and cytokine signaling by heterogeneity sequencing 2.0"