Heidelberg University, Germany, offers an exciting and interdisciplinary PhD or Postdoc position at the Center for Molecular Biology (ZMBH). The project focuses on applying deep learning models to understand the evolution of mammalian gene regulation. Candidates will gain hands-on research experience in computational biology, artificial intelligence, and evolutionary genomics, working in a collaborative and internationally recognized research environment.
Fact About The Heidelberg University
- Oldest University in Germany: Heidelberg University was founded in 1386, making it the oldest university in Germany!
- Global Rankings: Heidelberg University consistently ranks among the top 100 universities globally in various rankings, including QS World University Rankings.
- Nobel Laureates: Heidelberg University has been associated with an impressive 56 Nobel laureates, including famous physicists like Max Planck and Werner Heisenberg.
- International Student Body: With over 20% international students, Heidelberg University boasts a diverse and vibrant student community.
- Research Powerhouse: Heidelberg University is a member of the prestigious U15 network of German universities, recognized for their excellence in research and teaching.
- Interdisciplinary Approach: Heidelberg University is known for its interdisciplinary research approach, fostering collaboration between faculties and disciplines.
- Strong Industry Ties: Heidelberg University has close ties with leading industries, providing students with opportunities for internships, research collaborations, and job placements.
- Beautiful Location: Heidelberg University is situated in the picturesque city of Heidelberg, famous for its stunning castle ruins, charming old town, and scenic riverside location.
- Comprehensive Library: The University Library of Heidelberg is one of the largest and most important academic libraries in Germany, with over 6 million printed and digital volumes.
- Rich History: Heidelberg University has a rich history, with notable alumni including famous philosophers like Georg Wilhelm Friedrich Hegel and Martin Heidegger.
Eligibility For 2025 PhD/Postdoc Scholarship in Bioinformatics, Heidelberg University
The applicant must meet the following qualifications:
- Academic Background: Holding a Master’s (for PhD candidates) or Ph.D. degree (for Postdoc applicants) in one of the following disciplines:
- Computational Biology
- Bioinformatics
- Machine Learning
- Computer Science or similar fields
- Required Skills:
- Firm knowledge and experience in computational biology.
- Proficiency in deep learning libraries such as PyTorch or equivalent tools.
- Additional Assets:
- Familiarity with single-cell genomic data analysis and an interest in mammalian evolution and gene regulation.
Description For 2025 PhD/Postdoc Scholarship in Bioinformatics, Heidelberg University
Selected candidates will work collaboratively in a dual-lab research setting:
- Kaessmann Lab:
- Focuses on analyzing single-cell genomic data to understand gene regulation evolution across mammals.
- Sasse Lab:
- Develops Deep Genomic Sequence-to-Function (S2F) models to explore how genomic sequences influence gene regulatory functions.
Key Role & Responsibilities:
- Develop and test Deep Learning-based S2F models for the analysis of regulatory sequences in genomic data.
- Work on single-cell or cell-type-specific datasets from various species to identify cis-regulatory elements involved in gene regulation.
- Conduct multi-species training and comparative genomics studies to reveal evolutionary insights about phenotypic and developmental innovations.
Additional Opportunities:
- Collaborate with renowned institutes like EMBL, DKFZ, HITS, and the Max Planck Institute for Medical Research in the Heidelberg region.
- Gain technical expertise in the overlapping domains of AI, computational genomics, and evolutionary biology.
How To Apply For 2025 PhD/Postdoc Scholarship in Bioinformatics, Heidelberg University
Interested candidates are required to submit the following documents:
- Letter of Motivation: A short description of your interest in the position and relevant skills.
- Curriculum Vitae (CV): Include prior research experience.
- Academic Transcripts: Copies of relevant degree certificates and grades.
- References: Contact details of 2–3 refereeswho can provide recommendations.
Application Submission:
- Email Address: Send your application to Dr. Alexander Sasse at office-sasse@zmbh.uni-heidelberg.de.
- Deadline is 10 January, 2025.