We have a vacancy for 2 PhD positions in Sysems and Network Biology. One position is financed by the ERA-CoBioTech program, and the other by the Research Council of Norway through the Biotek2021 Digital Life program. Both appointments have a duration of 3 years, with the possibility of up to a one-year extension.
Application Deadline: May 15, 2019
Constraint-based analysis of genome-scale metabolic networks has become a central method in many systems biology investigations. In contrast to kinetic models, which are traditionally formulated in terms of differential equations, constraint-based approaches are based on linear or non-linear programming where the constraints are a mixture of physio-chemical and biological in origin. The solid mathematical foundation of the methodology makes it possible to conduct in-depth analyses of a variety of properties, and the mathematical flexibility naturally allows the inclusion of a wide variety of omics data. Constraints-based methods can be used to emulate optimal and sub-optimal cellular utilization of metabolic networks for a wide variety of nutrient and environmental conditions. Important insights into the organization and function of whole-cell metabolic networks have been gained through the recent use of constraint-based optimization approaches. The Almaas Lab (www.ntnu.edu/almaaslab) has been working actively in this field for more than 15 years.
The PhD-position's main objective is to qualify for work in research positions. The qualification requirement is completion of a master’s degree or second degree (equivalent to 120 ECTS) with a strong academic background in Systems Biology, Computational Biology, Biostatistics, Physics, Biochemistry, Biology, or a closely related field with a grade of B or better in terms of NTNU’s grading scale. Applicants with no letter grades from previous studies must have an equally good academic foundation. Applicants who are unable to meet these criteria may be considered only if they can document that they are particularly suitable candidates for education leading to a PhD degree.
We are looking for candidates with:
* Strong knowledge of basic biology / biochemistry and strong experience with numerical analysis and programming.
* Experience with network analysis and constraint-based analysis will be considered an advantage, but not a requirement.
* Good written and oral English language skills.
* Strong ability to work problem oriented.
* Enjoy interdisciplinary research and take keen interest in learning and working in teams.
A complete application will include (1) a cover letter and CV that has information about education, scientific work and previous work experience. It will also include (2) contact information for three references, and (3) a 2 page discussion of the candidate’s systems biology research interests, and the candidate’s vision for and/or experience with network biology.
For a complete listing of the job specification and submission of application, see