PhD Scholarships at IMPRS: The International Max Planck Research School for Molecular Life Sciences (IMPRS-ML) is offering PhD scholarships for highly motivated candidates from multidisciplinary backgrounds. The program offers a unique research environment in Munich, Germany, for innovative and cutting-edge scientific research.
Designation: PhD Candidate
Research Area: Multidisciplinary research in fields including, but not limited to, Biology, Biochemistry, Biophysics, Chemistry, Computer Sciences, Engineering, Mathematics, and Physics.
Location: Munich, Germany (Max Planck Institute of Biochemistry, Ludwig-Maximilians-Universität München (LMU), Technische Universität München (TUM))
Eligibility/Qualification:
- Entry with MSc: Applicants should have an MSc or equivalent degree with 300 ECTS credits. Relevant fields include Biology, Biochemistry, Biophysics, Chemistry, Computer Sciences, Engineering, Mathematics, Physics, etc.
- Entry with 4-year BSc hons (EU/UK): Eligible if awarded by European universities or a 4-year first class BSc/MSci from the UK.
- Medical degrees such as MBBS or Veterinary Medicine degrees are not accepted.
- English proficiency is required (TOEFL iBT, IELTS, CEFR).
Job Description:
PhD candidates will engage in innovative research across multidisciplinary fields. Candidates will undergo a rigorous selection process, including online and in-person interviews. The research will begin after matching with a faculty supervisor. The program offers opportunities for international collaboration, skill development, and a dynamic academic environment. Travel and accommodation expenses for the interview stage are covered by IMPRS-ML.
How to Apply:
- Check eligibility.
- Register on the IMPRS-ML online portal between 01 September and 13 October 2024.
- Invite two referees to submit recommendation letters.
- Complete the application form and upload required documents (CV, transcripts, degree certificates, etc.).
- Submit the application before 13 October 2024 (24:00 CET).
Last Date to Apply: 13 October 2024
For more details, visit the official IMPRS-ML website.
