The Computational Systems Medicine research group led by Professor Vera-Licona and the Systems Biology group led by Prof. Reinhard Laubenbacher at the Center for Quantitative Medicine at UConn Health have openings for talented and highly motivated postdoctoral fellows who wish to work on exciting research problems that are both computationally challenging and biologically important.
Our research groups work within the fields of computational systems medicine, computational systems biology, mathematical biology and bioinformatics. We focus on the design and software development of mathematical algorithms for the modeling, simulation and control of biological networks, making use of high throughput sequencing and pharmacological data.
The postdoctoral fellow in Prof. Vera-Licona’s group will be working on the development of algorithms and software tools for the analysis and targeted control of signal transduction networks geared towards the identification and prioritization of combinatorial network interventions. The openings in the Laubenbacher group are focused on the development of multi-scale models of disease processes, with particular emphasis on the use of agent-based modeling.
Qualifications: Ideal candidate should have a PhD degree in mathematics, computer science, computational biology or bioinformatics. A strong computational background is required (background in graph and network algorithms, search algorithms is especially beneficial, as is substantial programming experience, preferentially Java, C++, Python for the Vera-Licona group). For exceptional computational candidates, it is not essential to have extensive knowledge of biology up front. Previous experience programming in Cytoscape or experience in molecular biology would be a plus.
Starting date: July 15, 2016 or later for the Vera-Licona group, at the earliest possible time for the Laubenbacher group.
How to apply: Send the following materials to email@example.com
- A current CV with research background and publications list,
- A 1-2 page research statement with the specific areas you want to work on, how they fit with our research group, and how they build upon your previous work
- Two recommendation letters from your previous research supervisors and collaborators to be sent directly to firstname.lastname@example.org
UConn Health is an affirmative action employer in addition to an EEO and M/F/V/PwD employer.