PhD position in forensic computational chemistry/toxicology 80 %
- Entreprise
- Universität Zürich
- Lieu
- Zürich
- Date de publication
- 28.04.2025
- Référence
- 235759
Description
### The University of Zurich offers a wide range of attractive positions in various subject areas and professional fields. With around 10,000 employees and 12 professional apprenticeship streams, Switzerland's largest university provides an inspiring working environment at the vanguard of research and education. Find out more about UZH as an employer! ###
Your responsibilities
Through the analysis of illicit substances, forensic experts can identify and classify drugs seized in criminal investigations, aiding in the prosecution of drug-related offenses and elucidating connections between seized material. Precision in the similarity score between seized batches is central in drug profiling. Through this project, the PhD candidate will have the possibility to develop novel and more accurate approaches in drug profiling. A possible direction of the project is the development of deep learning algorithms to open new possibilities in analysing mass spectrometry data by combining multiple data sources.
The candidate will be enrolled in the Drug Discovery Network Zurich program (https://www.ddnz.uzh.ch/en.html) as PhD student. The project will be carried out in close collaboration with the department of forensic pharmacology and toxicology at the Institute of Forensic Medicine, the Forensic Institute in Zurich, and other computational groups. As part of their employment at the University of Zurich, the candidate will have teaching duties and is expected to help in the lab.
Your profile
The candidate must hold a Master's degree in chemistry, pharmacy, or any related natural science disciplines. The candidate has to be proficient in English and be able to follow discussions in German. The successful candidate should be highly motivated working in a computational environment while developing his/her programming skills. Good knowledge about deep learning and computational chemistry/toxicology are an advantage.
Alex Marquez
Personalverantwortliche
alex.marquez@irm.uzh.ch
Your responsibilities
Through the analysis of illicit substances, forensic experts can identify and classify drugs seized in criminal investigations, aiding in the prosecution of drug-related offenses and elucidating connections between seized material. Precision in the similarity score between seized batches is central in drug profiling. Through this project, the PhD candidate will have the possibility to develop novel and more accurate approaches in drug profiling. A possible direction of the project is the development of deep learning algorithms to open new possibilities in analysing mass spectrometry data by combining multiple data sources.
The candidate will be enrolled in the Drug Discovery Network Zurich program (https://www.ddnz.uzh.ch/en.html) as PhD student. The project will be carried out in close collaboration with the department of forensic pharmacology and toxicology at the Institute of Forensic Medicine, the Forensic Institute in Zurich, and other computational groups. As part of their employment at the University of Zurich, the candidate will have teaching duties and is expected to help in the lab.
Your profile
The candidate must hold a Master's degree in chemistry, pharmacy, or any related natural science disciplines. The candidate has to be proficient in English and be able to follow discussions in German. The successful candidate should be highly motivated working in a computational environment while developing his/her programming skills. Good knowledge about deep learning and computational chemistry/toxicology are an advantage.
Alex Marquez
Personalverantwortliche
alex.marquez@irm.uzh.ch