The Helmholtz Centre for Environmental Research (UFZ) with its 1,100 employees has gained an excellent reputation as an international competence centre for environmental sciences. We are part of the largest scientific organisation in Germany, the Helmholtz association. Our mission: Our research seeks to find a balance between social development and the long-term protection of our natural resources.
The department of Effect-Directed Analysis is searching for a PhD Student to work on the following subject: Suspect and Non-Target Screening of Emerging Contaminants in Human Biomonitoring.
The PhD project is integrated into the HBM4EU action (www.hbm4eu.eu), co-funded by the European Commission under Horizon 2020. The main aim of HBM4EU is to coordinate and advance human biomonitoring in Europe and to provide better evidence of the actual exposure of citizens to chemicals and the possible health effects to support policy making.
Phd Student (m/f)Working time: 60% (23.4 h / week), limited to 36 months
The PhD project aims at the development of LC-HRMS and GC-HRMS-based methods for suspect and non-target screening of human samples.
- Adaptation and optimization of existing LC- and GC-HRMS screening approaches for application to human samples.
- Establishment of data evaluation workflows to prioritize and annotate compounds of interest from large HRMS screening data sets.
- Application of the developed methods in human biomonitoring studies.
- Identification of unknown compounds in human samples based on HRMS and additional experimental data.
- The department Effect-Directed Analysis offers state-of-the art instrumentation (LC-QExactive, GC-QExactive) and all necessary equipment and software for these challenging tasks.
- A master degree in analytical chemistry, environmental chemistry, bioinformatics or any related subjects
- Background knowledge in organic trace analysis of contaminants AND/OR
- Background knowledge in chemometrics and data processing
- An interest to combine analytical laboratory work with advanced software processing and statistical/computational evaluation of large datasets
- Good knowledge of written and oral English
- Interest to work within an international team and to interact with different partners across Europe
- Top level interdisciplinary research at a research centre which enjoys an excellent reputation within Germany as well as internationally
- Excellent technical facilities
- Work in inter-disciplinary and multinational teams
- Excellent links to national and international research networks
- Support and optimal training courses by our graduate school (HIGRADE)
- Remuneration in accordance with the TVöD public-sector pay grade 13