Overview
This editorial highlights an exciting postdoctoral opportunity for STEM professionals to engage in innovative AI applications within the realm of structural biology. The position is part of the ARISE2 fellowship program, which is funded by the Marie Skłodowska-Curie Actions (MSCA). This fellowship aims to tackle significant computational challenges in predicting protein functions using advanced AI methodologies.
Background & Relevance
The intersection of artificial intelligence and structural biology is a rapidly evolving field that holds immense potential for scientific advancement. AI techniques can significantly enhance our understanding of protein functions, which are crucial for numerous biological processes. By leveraging AI, researchers can analyze structural and sequence data more effectively, leading to improved predictions and insights into protein behavior. This postdoctoral role is particularly relevant as it addresses the growing need for sophisticated tools in bioinformatics and computational biology.
Key Details
- Primary Location: EMBL-EBI, Cambridge, UK
- Collaboration: Regular visits to VIB AI in Leuven, Belgium
- Duration: 3 years
- Application Deadline: 5 September 2025
- Full Proposal Deadline: 30 September 2025
- Contact Emails: Sameer Velankar (sameer@ebi.ac.uk), Joana Pereira (joana.pereira@kuleuven.be)
- ARISE2 Program Information: ARISE2 Program
Eligibility & Participation
This opportunity is open to qualified candidates with a strong background in AI, machine learning, or structural biology. It targets researchers who are eager to contribute to the development of AI methods for protein function prediction and those interested in collaborating with leading experts in the field.
Submission or Application Guidelines
Interested applicants should prepare the following for their application:
– A two-page CV
– A two-page project proposal that includes:
– Background and proposed project
– Expected results and their impact
– Services to be offered
– Consideration of FAIR principles
Applications should be submitted via email to Sameer Velankar and Joana Pereira by the specified deadline. Following the initial proposal submission, one candidate will be selected by 16 September 2025 to advance to the full proposal stage.
More Information
The ARISE2 fellowship program is designed to foster research and innovation in AI applications for structural biology. This initiative aligns with the broader goals of enhancing scientific understanding through interdisciplinary collaboration. The integration of AI in biological research not only accelerates discovery but also promotes the sharing of knowledge across various domains, making it a vital area of focus for future research endeavors.
Conclusion
This postdoctoral fellowship presents a unique opportunity for researchers to engage with cutting-edge AI technologies in the field of structural biology. Interested candidates are encouraged to apply, explore the potential of their proposals, and contribute to the advancement of knowledge in this critical area. For further details, please refer to the ARISE2 program website and consider reaching out to the contacts provided for any inquiries.
Category: PhD & Postdoc Positions
Tags: ai, structural biology, postdoctoral fellowship, machine learning, protein function, knowledge graphs, data interpretation, EMBL-EBI, VIB, bioinformatics, computational biology, research opportunities
