Jobbeschreibung
The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early diagnosis, and therapy of diseases like cardiovascular diseases, autoimmune diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry, pharmacology, physics, and computer science. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states.
At our location in Dortmund we invite applications for a
PhD Candidate (m/f/d): Spatial Lipidomics and Structure Elucidation
for a DFG-funded project. This project will aim to structurally and spatially resolve the altered lipid metabolism in cancerous tissue by mass spectrometric means.
- Studying lipid alterations in cancer tissue by mass spectrometry imaging.
- Testing and developing novel sample preparation strategies as well as matrix materials for mass spectrometry imaging of tissue sections.
- Structure elucidation of phospholipids in cancerous tissues
- Collaborative research with medical science researchers
- Data analysis of large spatially resolved lipidomics data sets
- Masters, Diploma or equivalent degree in Organic Chemistry, Analytical Chemistry, Biochemistry or related subjects
- Good understanding of Analytical Chemistry of MALDI MS and ESI MS
- Good skills in organic synthesis and derivatization are beneficial
- Basic understanding of lipid metabolism is preferable
- Experience with mass spectrometric equipment is beneficial
- A clear research topic as well as multifold training and support for PhD students in framework of ISAS and the Leibniz association
- Training and scientific development opportunities in an international environment and an excellent working atmosphere in a very dynamic and professional team
- Extensive state-of-the-art equipment and infrastructure in various analytical methods
- The opportunity to present your data on international conferences and participate in workshops