PhD Position in AI for Mass-Spectrometry: The Department of Information and Computing Sciences at Utrecht University is offering a Ph.D. position in AI for Mass-Spectrometry and Protein Biology. The research will focus on developing AI-driven methodologies for analyzing mass spectrometry data, with applications in proteomics. The position is a part of the AI Technology for Life group and the Biomolecular Mass Spectrometry and Proteomics group, collaborating between the Department of Information and Computing Sciences and the Department of Pharmaceutical Sciences.
Table: Application Details
| Attribute | Details |
|---|---|
| Title | PhD Position in AI for Mass-Spectrometry and Protein Biology |
| Designation | Ph.D. Candidate |
| Research Area | AI Technology for Life, Mass-Spectrometry, Protein Biology |
| Location | Utrecht University, Netherlands |
| Application Deadline | 12 February 2024 |
Eligibility/Qualification:
- (Nearly) completed MSc degree in Artificial Intelligence/Machine Learning, Computer Sciences, or Bioinformatics with a strong AI component.
- Demonstrable experience in the development of machine learning methods.
- Interest in working with proteomics data.
- Strong oral and written communication skills in English.
Job Description: The selected candidate will develop AI-driven methodologies for analyzing various mass spectrometry data, including metabolites, peptides, and intact proteins. This involves predicting biochemical properties, interpreting trained models, and applying protein structure prediction methods. Collaboration with Biomolecular Mass Spectrometry and Proteomics groups will provide hands-on experience in biological hypothesis validation.
How to Apply: Apply online through the official application portal. Required materials include a letter of motivation, curriculum vitae, contact information for two referees, academic transcripts for BSc and MSc, and a copy of the MSc thesis if available.
Last Date for Apply: 12 February 2024
Disclaimer: This post is derived from a reliable source. However, applicants are encouraged to verify details on the official Utrecht University website for the latest and most accurate information.
Contact: For more information, please contact Pavel Sinitcyn (Assistant Professor) at p.sinitcyn@uu.nl or Sanne Abeln (Professor of AI Technology for Life) at s.abeln@uu.nl. For application procedure inquiries, email science.recruitment@uu.nl.
