Postdoc position in theoretical systems biology
|Online seit|| |
29.06.2020 - 16:57
A Postdoctoral Researcher position (E13 or E14) is available within the newly established Systems Biology group of Prof. Dr. Stefan Legewie at the University of Stuttgart. The appointment will be initially for two years with the possibility for extension.
The University of Stuttgart is one of the leading technical universities in Germany, and provides an inspiring interdisciplinary environment at the interface of biology and engineering. The Systems Biology group combines mathematical modelling with state-of-the-art experimentation and is part of the Stuttgart Research Center Systems Biology (SRCSB), one of the largest German inter-faculty
infrastructures for systems biological research (https://www.srcsb.uni-stuttgart.de/).
In our research, we closely collaborate with SRCSB groups working on cellular signaling and gene regulation to gain a better understanding of cell fate decisions in health and disease. One major focus is heterogeneity at the single-cell level with special emphasis on the TGFb/SMAD signaling pathway. We study heterogeneous decision making using a combination of high-content imaging, single-cell RNA sequencing and quantitative modeling. Based our models, we gain mechanistic
insights into cellular subpopulations and cell-specific gene expression programs in heterogeneous cell populations (e.g., Strasen et al., 2018; Fritzsch et al. 2018). As a second focus, we reconstruct gene regulatory networks from experimental data based on perturbation screens and multi-layered genomics data. In particular, we focus on mechanisms of post-transcriptional gene regulation, and recently used kinetic modeling as well as machine learning approaches to uncover mechanisms of
alternative splicing regulation in human cancers (e.g., Braun et al., 2018; Sutandy et al., 2018; Becker et al., 2018). Currently, we apply this expertise to better understand how cancer cells develop resistance against targeted therapies by expressing alternative splice variants, in which the modified protein lacks the target epitope. See also: https://www.imb.de/research/legewie/research.
The successful applicant will closely collaborate with experimental partners within or outside the group to develop data-based models of biological processes. The work involves statistical data analysis, machine learning approaches and the derivation of quantitative kinetic models. Key model predictions will be tested experimentally to gain insights into cellular decision making, thereby contributing to a better understanding of cancer development and therapy resistance. The candidate will participate in teaching in systems biology. A postdoctoral lecturer qualification (‘habilitation’) is possible. Collaborations within the SRCSB and the SimTech cluster of excellence (https://www.simtech.uni-stuttgart.de/) are strongly encouraged.
For any queries regarding the projects please contact: firstname.lastname@example.org.
In our group, we put special emphasis on a collaborative environment that fosters interdisciplinary education at the interface of theory and experiment. Therefore, excellent communication skills and good team spirit are required. The candidates should be fluent in English (spoken and written). Enthusiasm for basic research questions and the ability to solve problems independently are necessary.
In particular, the applicants must be able to independently develop strategies to address project-related specific aims. Applications from various fields will be considered, including researchers holding a PhD in molecular biology, engineering, physics, math or informatics. Experience in large-scale data analysis (RNA Seq), machine learning and/or mechanistic mathematical modelling of biological networks is necessary.
The University of Stuttgart has been certified as a family-friendly university since 2012 (http://www.uni-stuttgart.de/uniundfamilie/index.en.html) and wishes to increase the share of female academic staff and, for this reason, especially welcomes applications from women. Severely challenged applicants will be given preference in the case of equal qualifications.
Application procedure (Berwerbungsunterlagen): Candidates must send a single PDF file containing a motivation letter including a description of previous research experiences, a full CV, a list of publications, scans of academic degrees (Germans: including certificates of Abitur, Diplom/Master and Promotion) and contact details of two referees to email@example.com.
Starting date: As soon as possible
Closing date: Applications will be handled immediately but must be submitted by 30th of September 2020. Informal inquiries should be addressed to Stefan Legewie (firstname.lastname@example.org).
Frau Michaela Moses-Endewardt
+49 711 68566970
Art der Beschäftigung
|Institut / Einrichtung|| |
Systems Biology Group
|Zeitraum der Beschäftigung|| |
Mittwoch, 30. September 2020 - 23:59