Mathematical modelling of complex biological phenomena
The candidate will become part of the mathematical biology section of CIGENE that is currently engaged in modelling of skin cancer, astroglia-neuron interaction in the brain, salmon metabolism, synthetic regulatory networks in yeast, the neurobiological processes underlying vision, and development of basic mathematical methodology of relevance to systems biology. The candidate is expected to assume specific responsibility for constructing a mathematical model of the porcine steroid hormonal regulatory system as part of a large ongoing project aimed at understanding the biology underlying the boar taint phenomenon. In addition, the candidate is expected to contribute to the construction of mathematical models testing new ideas associated with the evolutionary rationale for biological ageing. This activity is part of a recently initiated Network of Excellence EU project on the relationship between development and ageing. Applicants should have an educational background in computer science or mathematics. Candidates with prior experience in mathematical modelling of biological systems will be favoured, and such experience may also compensate for lack of formal theoretical background. Applicants must have successfully completed their doctoral degree.The position is offered for 18 months, but with a strong possibility of being extended to at least 2 years. Annual salary ranges from level 54 to 60 on the Norwegian Government salary scale (approximately NOK 389,600 to 433,600), depending on qualifications. A higher salary level may be considered for particularly well-qualified applicants.
Applicants should submit three copies of their written application, detailed CV including a list of publications and officially certified copies of certificates and references. Three copies of the applicant’s most important publications should also be included.
For further information contact Prof. Stig W. Omholt (e-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it ; phone +47-64965297) or Prof. Sigbjorn Lien (e-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it ; phone +47 64965288).
Reference number: 2007/238
