Vienna Research Group Leader in the field of "Computational Biosciences“
Vienna Research Group Leader in the field of „Computational Biosciences“
Applications are being invited for outstanding early-career scientists (2-8 years post PhD), interested in building up their first independent research group in the field of "Life Sciences – Computational Biosciences" at the Technische Universität Wien.
The aim of this announcement is to source exceptional candidates, who, once selected, will then go on to submit an application together with experienced scientists at the Technische Universität Wien, to the current call for young investigators by the Vienna Science and Technology Fund (WWTF): https://www.wwtf.at/upload/VRG20_print_v1.pdf, öffnet eine externe URL in einem neuen Fenster.
In case of a successful funding decision, the research group will be financed for 6 to 8 years, with up to 1.6 million EUR being provided by the WWTF, supplemented by an additional contribution from the University itself. After a successful interim evaluation, the Technische Univrsität Wien will offer the group leader a tenure-track position.
Applicants should have exceptional promise, or a proven record of research achievement, within the area of computational methods in the life sciences. They should also provide strong evidence of their potential to make a significant contribution to substantial state-of-the-art scientific research questions in this particular research field. Female applicants are explicitly encouraged to apply.
Interested Postdoc candidates should should be sent via the TU Wien Job portal (https://tuwien.bewerberportal.at/Jobs, öffnet eine externe URL in einem neuen Fenster) mentioning the respective host group no later than May 21st, 2020.
Motivation of the call “VRG 2020 Computational Biosciences”
The call is open for projects that develop and apply novel computational methods to further the understanding of living systems. An application of computational methods in the field of life sciences is therefore a prerequisite of the current call. The project must address fundamental biological questions with the aim to develop new computational methods, algorithms, tools, concepts or models. This includes, but is not limited to, mining, integration and processing of large biological datasets, the development of mathematical methods for modelling biological systems, large scale analysis as well as the development of predictive and simulation algorithms. Projects merely applying existing tools or methods are not within the scope of this call.
For further information please contact:
- Scientific questions: the respective group hosts – please see “scientific contact” in each group description
- Administrative issues: Elisabeth Schludermann, Funding Support and Industry Relations, Research and Transfer Support: email@example.com
Possible hosting labs at TU Wien
(in alphabetical order)
Host contact person: Ezio Bartocci, Email
Administrative contact person: Elisabeth Schludermann, Email
Webpage of your present research group
https://informatics.tuwien.ac.at/orgs/e191-01, öffnet eine externe URL in einem neuen Fenster
Formal Modelling of Biologically-inspired Complex Stochastic Systems (BioCosmos)
The overall goal of the proposed research group is to push forward our understanding of biological systems, by developing theory and tools that support the formal representation, and hypothesis-driven modelling as well as the analysis of complex stochastic dynamical systems.
It is aimed to aid automated reasoning at each and every level of the modelling cycle - from data to mechanisms, and back, driven towards applications in systems biology, synthetic biology, medicine, collective animal behaviour, and beyond.
The theory, algorithms and tools to be developed shall translate to general collective-adaptive systems, at a wide range of application domains and scales, e.g. networks of animals, humans in a society, computing devices within the Internet-of-things.
We persue the combination of various research topics and methods, reaching from formal approaches to modelling biologically inspired systems, through the design of novel specification languages and logics, as well as scalable verification and monitoring algorithms. We seek for a researcher‘s profile focusing on probabilistic reasoning and computational biology bringing additional and complementing expertise to our lab.
Host Contact person: Gerhard J. Schütz, Email
Administrative Contact person: Elisabeth Schludermann, Email
Webpage of your present research group:
The new working group will be embedded in the vibrant environment of the BioInterface Network at TU Wien, in which the Vienna Research Group (VRG) leader will find stimulating environment for collaborations, both on theoretical and experimental aspects of biomechanics. Beyond this, the VRG leader can also become a member of the Vienna Centre for Engineering in Medicine (ViCEM), which is a joint venture of TU Wien and the Medical University of Vienna and has a strong biomechanics footing.
Recent years have testified a general consensus in the biosciences that the importance of mechanical forces throughout all forms of life can hardly be overestimated. TU Wien wishes to foster a wholistic approach by bundling all present activities around a VRG. These activities include optical measurements of subcellular forces at singe molecule level in the course of T cell activation (Schütz), investigations of self-assembly scenarios of DNA-based tissues and mechanical properties of DNA-strands (Kahl), structural mechanics of macromolecules, as basis for multiscale tissue and organ mechanobiology (Hellmich), and finally experimental micro- and nanomechanics of biological tissues and tissue components combined with structural and compositional analyses - from single molecules to tissue biopsies – for elucidating structure-function relationships (Thurner).
We encourage applications of researchers with excellent track record, who are interested in connecting to ongoing activities by supporting experimental approaches with modelling, or use experimental data as input for refining theoretical models, which are then investigated in large-scale computer simulation studies and put to the test for predicting yet untested scenarios.