Postdoctoral Opportunity (Wel-T Advanced): We are pleased to announce a Postdoctoral Opportunity at the Center for Integrated Technology and Organic Synthesis (CiTOS) in collaboration with the Université de Liège (ULiège), Belgium. The selected candidate will work on a Wel-T advanced grant project led by Prof. Jean-Christophe Monbaliu, focusing on using quantum mechanics computations and machine learning to enhance the predictability of chemical reactions. This is a 24-month, renewable position for a Postdoctoral Researcher (fellowship) with a starting date of 1st October 2023.
Summary Table:
| Designation | Postdoctoral Researcher (Fellowship) |
|---|---|
| Research Area | Chemistry, Computational Chemistry, Organic Chemistry, Chemical Engineering, Machine Learning |
| Location | B-4000 Liège (Sart Tilman), Belgium |
| Eligibility/Qualification | PhD degree in Chemistry or Chemical Engineering |
| Interest in developing skills in organic synthesis and flow technology | |
| Experience in machine learning and ideally a background in Computational Chemistry (DFT) | |
| Comfortable with organic chemistry | |
| Job Description | Conduct research on quantum mechanics computations and machine learning for chemical reactions |
| Test optimal reaction conditions using a microfluidic flow reactor | |
| Work within a multidisciplinary team of chemists and chemical engineers | |
| Supervise 2 PhD students | |
| How to Apply | Interested candidates must send electronic applications to admincitos@uliege.be |
| Application should include a cover letter, CV, statement of motivation and career objectives | |
| Provide names and contact details of 3 professional references | |
| Reference: Wel-T_ADV_Postdoc_2023 | |
| Last Date for Apply | Application deadline: 1st September 2023 – 12:00 (Europe/Brussels) |
Job Description: The selected Postdoctoral Researcher will contribute to the research project aiming to reduce reliance on trial-and-error approaches in chemistry by utilizing quantum mechanics computations and machine learning for predicting chemical reactions. The project will involve generating initial data through computational modeling and developing an effective prediction model for reactivity. The candidate will work with a microfluidic flow reactor to test predicted optimal reaction conditions. This project focuses on novel synthetic routes for active pharmaceutical ingredients and offers an exciting opportunity for research in academia or industry.
How to Apply: Interested candidates should submit electronic applications to admincitos@uliege.be. The application should include the following:
- A cover letter expressing interest and motivation for the position
- Curriculum vitae (CV)
- A short statement outlining career objectives
- Names and contact details of 3 professional references Please indicate the reference “Wel-T_ADV_Postdoc_2023” in the subject line of the email.
Last Date for Apply: The application deadline is 1st September 2023, 12:00 (Europe/Brussels). Applications received after this date will not be considered. Selected candidates will be contacted for interviews.
For additional information, you may contact Prof. Jean-Christophe Monbaliu at admincitos@uliege.be. Visit the CiTOS website (http://www.citos.uliege.be/), ULiège website (https://www.uliege.be/), and Wel Research Institute (https://welri.org/cms/c_16995060/en/welri-mission) for more details about the research institute and the project.
