Postdoctoral Research Fellow in Metabolic Diseases: Technische Universität Dresden invites applications for a Postdoctoral Research Fellow to join a cutting-edge research team led by Prof. Dr. Nikolaos Perakakis. The position focuses on the integration of multi-omics data and advanced machine learning to explore mechanisms and identify biomarkers in metabolic diseases such as diabetes, obesity, and MASLD. This is a full-time position for up to 3 years in a highly interdisciplinary and international research environment.
Postdoctoral Research Fellow in Multi-Omics & Machine Learning for Metabolic Diseases
📋 Summary Table
| Field | Details |
|---|---|
| Position Title | Postdoctoral Research Fellow |
| Research Area | Multi-Omics Data Analysis & Machine Learning in Metabolic Diseases |
| Location | Technische Universität Dresden, Germany |
| Duration | Full-time, up to 3 years (TV-L remuneration) |
| Start Date | November 1, 2025 (earlier or later start possible) |
| Application Deadline | Rolling basis until position is filled |
| Email for Application | Nikolaos.Perakakis@ukdd.de |
👨🔬 Designation
Postdoctoral Research Fellow
🔬 Research Area
- Integration of multi-omics datasets (proteomics, metabolomics, genomics, transcriptomics)
- Machine learning in biomedical research
- Biomarker discovery and disease trajectory prediction
- Focus on metabolic diseases: diabetes, obesity, MASLD
📍 Location
Technische Universität Dresden
Paul Langerhans Institute Dresden (PLID)
German Center for Diabetes Research (DZD), Dresden, Germany
🎓 Eligibility / Qualification
- PhD in Bioinformatics, Computational Biology, Biostatistics, Systems Biology, or related field
(PhD should have been awarded in 2020 or later) - Demonstrated experience in multi-omics data analysis
- Strong background in machine learning and statistical modeling
- Proficiency in Python and R, and familiarity with libraries such as scikit-learn, TensorFlow, PyTorch, Bioconductor
- Experience with clinical and/or biomedical data (highly desirable)
- Additional expertise in immunology and FACS analysis is a plus
- Strong publication record in relevant areas
- Excellent English communication skills
📝 Job Description
- Conduct multi-omics data integration and statistical analyses on metabolic disease datasets
- Develop machine learning models for biomarker discovery and disease prediction
- Collaborate with international and national partners including DZD and King’s College London
- Publish high-impact scientific articles and present findings at conferences
- Support and mentor PhD students and junior researchers
💼 What We Offer
- Interdisciplinary and supportive research environment
- Access to large clinical cohorts and experimental models
- Collaboration opportunities with world-class institutions
- Opportunity to conduct translational research with real-world impact
- Full-time employment up to 3 years, salary as per German TV-L scale
- Career development, mentoring, and networking opportunities
📨 How to Apply
Send a single PDF including:
- Cover Letter (max. 1 page)
- Curriculum Vitae (with publication list)
- Contact details of at least two referees
📧 Email to: Nikolaos.Perakakis@ukdd.de
🗓️ Last Date to Apply
Applications will be reviewed on a rolling basis until the position is filled.
Preferred start date: November 1, 2025 (earlier or later start possible)
Technische Universität Dresden is committed to diversity and equal opportunities. Applications from all qualified individuals are encouraged, regardless of gender, nationality, ethnicity, disability, age, or sexual orientation.
