Postdoctoral Researcher: AI in Drug Discovery: The Eindhoven University of Technology (TU/e) invites applications for a 2-year Postdoctoral Researcher position in the field of Organic and Medicinal Chemistry, specifically focused on the transformative potential of generative AI in drug discovery. This position is part of an ERC-funded initiative within the Molecular Machine Learning team, aiming to combine cutting-edge AI approaches and experimental chemistry to pioneer new methodologies in drug discovery.
Postdoctoral Researcher in Organic/Medicinal Chemistry for Generative AI in Drug Discovery
Designation
Postdoctoral Researcher
| Details | Information |
|---|---|
| Research Area | Organic/Medicinal Chemistry, Generative AI in Drug Discovery |
| Location | Eindhoven University of Technology, Netherlands |
| Eligibility/Qualification | PhD in Organic Chemistry, Medicinal Chemistry, or related field; strong experience in small molecule synthesis. |
| Last Date to Apply | 15th January 2025 |
Research Area
The position focuses on innovative techniques in drug discovery utilizing generative AI, combining computational insights with experimental validation to develop new small molecules.
Location
Eindhoven University of Technology, Netherlands
Eligibility/Qualification
Essential:
- PhD in Organic Chemistry, Medicinal Chemistry, or a related field.
- Proven experience in small molecule synthesis and characterization.
- Ability to work collaboratively in interdisciplinary teams.
- Strong communication skills with a record of peer-reviewed publications.
- Enthusiasm for innovative research and solving complex challenges.
- Interest in applying AI to drug discovery.
Desirable:
- Basic/intermediate coding skills (e.g., Python).
- Knowledge of structure-activity relationships (SAR) and drug design principles.
- Experience with computational tools or machine learning in drug discovery.
- Experience conducting biological assays.
Job Description
As a postdoctoral researcher, you will:
- Design, synthesize, and test innovative small molecules suggested by generative AI.
- Collaborate with machine learning experts and chemical biologists.
- Contribute to ongoing research within the Molecular Machine Learning team.
- Translate AI research into real-world applications intending to address health challenges.
How to Apply
Interested candidates should submit a complete application, including:
- A cover letter detailing motivation and qualifications.
- A curriculum vitae including a list of publications and references.
- A list of two to five selected publications showcasing significant contributions.
Application should be submitted via the university’s career page or by contacting the HR advice team for guidance.
Last Date to Apply
15th January 2025
For additional information or questions regarding the application process, please contact:
- Francesca Grisoni, Associate Professor: f.grisoni@tue.nl
- HR Advice Team: hradvicebme@tue.nl
This scholarship position presents a unique opportunity to advance your career while contributing to impactful research at the intersection of chemistry and artificial intelligence.
