Doctoral Candidate (PhD): We are seeking a highly motivated and talented PhD student to join the Translational Spatial Profiling Center at Heidelberg University Hospital, starting on 01.09.2024. The position is in the Institute for Computational Biomedicine, focusing on the development of novel methods for analyzing spatially resolved data in cancer research.
Doctoral Candidate (PhD) – Computational Biomedicine / Machine Learning / Spatial Omics (m/f/d)
Summary Table
| Position | Doctoral Candidate (PhD) – Computational Biomedicine / Machine Learning / Spatial Omics (m/f/d) |
|---|---|
| Location | Heidelberg, Institute for Computational Biomedicine |
| Start Date | 01.09.2024 |
| Working Hours | Full-time (65%) |
| Contract Duration | Temporary (3 years) |
| Application Deadline | 08.07.2024 |
| Contact Person | Dr. Jovan Tanevski |
| Contact Email | jovan.tanevski@uni-heidelberg.de |
Study Area
Computational Biomedicine, Machine Learning, Spatial Omics
Scholarship Description
The selected candidate will work in a dynamic, multidisciplinary environment at the Institute for Computational Biomedicine. The research involves developing novel methods for analyzing state-of-the-art spatially resolved data with a focus on explainable machine-learning and optimization approaches, particularly in cancer research. The candidate will benefit from interdisciplinary cooperation, access to high-performance computing infrastructure, and opportunities for scientific publication.
Eligibility
- Degree in computer science, engineering sciences, physics, mathematics, biological sciences, or medicine with computational experience.
- Motivation to work on interdisciplinary projects with biomedical relevance.
- Strong interest or knowledge in histopathology and cancer biology.
- Experience programming in R or Python.
- Good English communication skills.
Required Documents
- Letter of motivation tailored to the position (1 page).
- Curriculum Vitae (CV).
- List of references with contact details.
How to Apply
Interested candidates should submit the required documents via e-mail to Dr. Jovan Tanevski at jovan.tanevski@uni-heidelberg.de by 08.07.2024.
Last Date
Applications must be submitted by 08.07.2024.
Additional Information
- Possibility of earning a doctorate.
- Support for scientific publication.
- Regular team meetings.
- Interdisciplinary cooperation with local and international research networks.
- Collectively agreed remuneration with an attractive company pension scheme (VBL).
- 30 days of vacation.
- Sustainable travel benefits, including a job ticket.
- Family-friendly working environment with childcare arrangements, subsidies for child vacation care, and advice for employees with relatives in need of care.
- Wide range of health, prevention, and sports offers.
For further information, please contact Dr. Jovan Tanevski via e-mail.
