PhD Position in Evolution of New Small Proteins
Explore the emergence of functional proteins from random sequences in a cutting-edge interdisciplinary research project.
Best for:Best for master’s graduates in molecular biology, biochemistry, or computational biology with a passion for protein evolution and interdisciplinary research.
Overview
This PhD position focuses on investigating how new small proteins evolve from random sequences, transitioning from noise to functional roles. Conducted at the Hospital del Mar Research Institute, the project combines computational and experimental approaches to understand protein evolution mechanisms. The successful candidate will contribute to advancing our knowledge of protein functionality and its implications for biology and medicine. The position is ideal for master’s graduates with a strong background in molecular biology, biochemistry, or computational biology, seeking to delve into fundamental biological questions with interdisciplinary tools.
What you'll do
- Conduct experimental and computational research to investigate the emergence and functionality of new small proteins.
- Develop and apply bioinformatics tools to analyze protein sequences and predict functional outcomes.
- Perform laboratory experiments to validate computational predictions and explore protein functionality.
- Collaborate with interdisciplinary teams to integrate computational and experimental approaches.
- Present research findings at conferences and publish results in high-impact scientific journals.
- Contribute to the development of novel methodologies for studying protein evolution.
Requirements
Degree required: Master’s degree in Molecular Biology, Biochemistry, Computational Biology, or a related field
Degree offered: PhD
Language: English; proficiency sufficient for academic research and communication
Instruction: English
- Strong background in molecular biology or biochemistry
- Experience with bioinformatics and computational tools
- Proficiency in laboratory techniques for protein analysis
- Ability to design and execute experimental protocols
- Familiarity with data analysis and statistical methods
- No specific nationality restrictions
- No age restrictions
- No prior experience caps
Funding & terms
How to apply
Deadline: 2026-10-22 (Africa/Abidjan)
Applicants must submit their application through the official portal provided by the Life Science Network gGmbH. The application should include a CV, a cover letter detailing research interests and qualifications, and academic transcripts. Additional documents may be requested depending on the application review process.
- CV
- Cover letter
- Academic transcripts (BSc and MSc)
- Research statement or proposal
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