13 Feb 2024
Job Information
- Organisation/Company
Eindhoven University of Technology (TU/e)- Research Field
Medical sciences- Researcher Profile
Recognised Researcher (R2)- Country
Netherlands- Application Deadline
31 Mar 2024 - 22:00 (UTC)- Type of Contract
Temporary- Job Status
Not Applicable- Hours Per Week
38.0- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Proteins play a crucial role as mediators of the therapeutic potential of molecules. Capturing meaningful information on proteins with AI has an enormous potential in drug discovery and chemical biology, e.g., for structure-based drug discovery and polypharmacology. Despite such potential, strategies to capture sophisticated information on protein structure with deep learning are underexplored compared to small molecules.
This ERC-funded project has the ambitious goal to develop new AI strategies to learn efficiently from protein structures, to ultimately accelerate small molecule drug discovery. The project will be fueled by methodological innovation and aimed to leverage large corpora of protein data with cutting-edge deep learning algorithms. The developed approaches will be applied experimentally for structure-based drug discovery, thereby providing a unique opportunity to validate the AI predictions in a real-world setting.
Job Description
Your tasks will include:
- Developing and implementing innovative representation learning algorithms to capture sophisticated structural information for structure-based drug discovery.
- Implementing cutting-edge deep learning approaches to efficiently learn from large corpora of protein structures.
- Collaborating and interacting with ongoing research in ligand-based AI, as well as in medicinal chemistry and chemical biology.
- Mentoring and supervising junior researchers and students who are working on AI-assisted drug discovery.
- Communicating the results of your research through publications in scientific journals and presentations at conferences.
You will work at the interface between AI, chemistry, and biology, with a proactive and interdisciplinary attitude. You will become a member of the Molecular Machine Learning team (led by Dr. F. Grisoni), whose mission is to augment human intelligence in drug discovery with novel AI technology. You will also be embedded in the Chemical Biology group, the Dept. of Biomedical Engineering, the Institute for Complex Molecular Systems, and the Eindhoven AI Systems Institute, which are characterized by a highly interdisciplinary and collaborative approach to science and research.
Requirements
Specific Requirements
Background:
- A PhD degree (or an equivalent university degree) in Computer Sciences, Computer Engineering, Bioinformatics, or related disciplines.
- Previous experience of deep learning, preferably applied to chemistry, biology, and/or healthcare.
- Basic understanding of molecular biology and/or medicinal chemistry.
Technical skills:
- Excellent knowledge of Python (required).
- Previous in-depth experience with deep learning (required).
- Knowledge of popular deep learning frameworks such as Tensorflow or PyTorch (required).
- Experience with popular bioinformatics software, such as PyMol, and/or Chimera, and popular bioinformatics repositories, such as PDB and/or UniProt (desirable).
Soft skills:
- A research oriented and quantitative thinking attitude.
- Proven ability to work in interdisciplinary teams.
- Willingness to support and mentor younger scientists working in AI for drug discovery.
- Excellent writing and presentation skills.
- Fluent in spoken and written English (C1 level).
Additional Information
Benefits
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
- Full-time employment for 3 years.
- Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (monthly salary gross min. € 3.877,- and max. € 5.090,-).
- A year-end bonus of 8.3% and annual vacation pay of 8%.
- High-quality training programs on general skills, didactics and topics related to research and valorization.
- An excellent technical infrastructure, on-campus children's day care and sports facilities.
- Partially paid parental leave and an allowance for commuting, working from home and internet costs.
- A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.
Additional comments
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more?
Please contact dr. Francesca Grisoni, f.grisoni[at]tue.nl.
Visit our website for more information about the application process or the conditions of employment. You can also contact Sascha Sanchez, HR advisor, s.j.m.g.sanchez.van.oort[at]tue.nl or +31 40 247 7310.
Are you inspired and would like to know more about working at TU/e? Please visit our career page .
Application
We invite you to submit a complete application using the apply-button. The application should include a:
- Cover letter in which you describe your motivation and qualifications for the position.
- Curriculum vitae, including a full list of publications and conference contributions, and the contact information of three references.
- A list of 2 to 5 selected publications, along with a summary of their content, a description of their relevance for the scopes of the project, your role in the research, and the corresponding DOIs. Preprints and conference papers can be included.
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.
- Website for additional job details
https://www.academictransfer.com/337701/
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Eindhoven University of Technology (TU/e)
- Country
- Netherlands
- City
- Eindhoven
- Postal Code
- 5612 AP
- Street
- De Rondom 70
- Geofield
Where to apply
- Website
https://www.academictransfer.com/en/337701/postdoc-in-ai-for-protein-representa…
Contact
- City
Eindhoven- Website
http://www.tue.nl/- Street
De Rondom 70- Postal Code
5612 AP
STATUS: EXPIRED
Similar Positions
-
Post Doc Position – Structural Bioinformatics Of Protein Interactions, VIB, Belgium, 1 day ago
Are you passionate about deciphering the mysteries of life through computational analysis? Do you possess a keen interest in structural biology and its implications in drug discovery and biomolecu...
-
Postdoc Computational Science For Energy Materials (X/F/M), AcademicTransfer, Netherlands, 22 days ago
Postdoc Computational science for energy materials (X/F/M) Postdoc Computational science for energy materials (X/F/M) Published Deadline Location today 5 May Eindhoven Have you recently completed ...
-
Researcher In Biophysical Chemistry Of Concentrated Antibody Solutions (Pa2024/1299) , University of Lund, Sweden, about 7 hours ago
Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and ...
-
Researcher In The Research Program Of Biochemistry, Uppsala University, Sweden, about 6 hours ago
Published: 2024-04-24 A position as a researcher in the group of Prof. Ylva Ivarsson, in the research program of Biochemistry, on the topic of protein-protein interactions mediated by de novo pr...
-
Researcher In The Research Program Of Biochemistry, SciLifeLab, Sweden, about 5 hours ago
Uppsala University, Department of Chemistry – BMC A position as a researcher in the group of Prof. Ylva Ivarsson, in the research program of Biochemistry, on the topic of protein-protein interact...
-
Postdoctoral Researcher In Structural Biology, University of Helsinki, Finland, 5 days ago
Postdoctoral Researcher in Structural biology of innate immune response in modulation of neuronal synapse loss in Alzheimer’s disease/neurodegeneration The HiLIFE - Institute of Biotechnology at t...