University Assistant Postdoctoral: The Computational Drug Discovery and Design Group (COMP3D) at the Faculty of Life Sciences, University of Vienna, is seeking a postdoctoral researcher to develop cutting-edge artificial intelligence and machine learning methods in the context of drug discovery. The selected candidate will be part of an international and interdisciplinary team, contributing to innovative research and teaching.
Designation
University Assistant Postdoctoral
Table
| Detail | Description |
|---|---|
| Faculty | Faculty of Life Sciences |
| Job ID | 3336 |
| Working Hours | 40 hours/week |
| Contract Type | Limited contract (initially 3 years, extendable to 6 years) |
| Location | University of Vienna, Vienna, Austria |
| Base Salary | EUR 4,752.30 gross (for full-time employment) |
Research Area
- Drug Discovery
- Artificial Intelligence
- Machine Learning
- Computational Chemistry
Location
University of Vienna, Vienna, Austria
Eligibility/Qualification
- Completed doctoral/PhD studies in Computer Science, Computational Science, Cheminformatics, Bioinformatics, Chemistry, or a related field, or expectation to complete shortly.
- Established experience in machine learning and artificial intelligence.
- Proven research competence through international publications.
- Ideally possess knowledge in pharmaceutical chemistry.
- Excellent written and spoken English skills.
- Experience in research management and supervision.
- Strong social and communicative skills.
Job Description
As a postdoctoral researcher, you will:
- Develop an independent research profile in artificial intelligence and machine learning related to drug discovery.
- Lead research and manage high-performance computational resources within the COMP3D group.
- Supervise research conducted by master’s and doctoral students.
- Contribute to teaching activities within the department.
- Collaborate with colleagues across various disciplines.
- Publish research and present at international conferences.
- Apply for projects and secure third-party funding.
How to Apply
Interested candidates should prepare the following documents:
- Scientific curriculum vitae with links to scholarly profiles and code repositories.
- List of publications and presentations.
- Motivation letter outlining research interests and fit for the position.
- Doctoral degree certificate or confirmation of defense date.
- Additional certificates of qualifications.
- Abstract of the doctoral thesis.
- Contact details for reference letter providers.
Applications can be submitted via the University of Vienna’s job portal.
Last Date for Apply
January 19, 2025
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