Visit All-Acad.com with more than 200,000 Jobs for Academics!
                    
Position: Research Associate (Post-doctoral ) on project in generalised monotone variational inequalities (m/f)
Institution: University of Luxembourg
Department: Luxembourg Centre for Systems Biomedicine (LCSB)
Location: Luxembourg City, Luxembourg
Duties: Development of optimisation theory and continuous optimisation algorithms to solve generalised monotone variational inequalities arising in biochemistry. Specifically, variational inequalities involving a duplomonotone function and polyhedral convex constraints. Algorithm development should particularly focus on the investigation of novel approaches that are globally convergent and globally optimal
Requirements: A PhD in mathematics or applied mathematics, or a related discipline. A comprehensive understanding of, and evidence of primary research within, Variational Analysis and Generalised Monotonicity is essential. Experience with formulation of asymmetric variational inequalities problems as the solution of globally convergent optimisation algorithms, that are amenable to efficient implementation, is desired. Experience with solution of generalized monotone variational inequalities with gap function based approaches, is desired. No knowledge of reaction networks, biochemistry, or biology is expected, but a willingness to work as part of an interdisciplinary team is essential. Excellent written English is essential
   
Text: Research Associate (Post-doctoral ) on project in generalised monotone variational inequalities (m/f) Contract Type: Fixed Term Contract Expiration date: 15-Feb-2018 Company Text The University of Luxembourg is a multilingual, international research University. The University of Luxembourg has the following vacancy in the Luxembourg Centre for Systems Biomedicine (LCSB): Research Associate (Post-doctoral )on project in generalised monotone variational inequalities (m/f) Réf : 500011556/ R-AGR-3230-00-B Fixed-term contract, 2 years, full-time (40h/week) Start date: 01/05/2018 Employee status Area: Algorithms for generalised monotone variational inequalities Your Role Development of optimisation theory and continuous optimisation algorithms to solve generalised monotone variational inequalities arising in biochemistry. Specifically, variational inequalities involving a duplomonotone function (cf Optim Lett (2015) 9: 569. https://doi.org/10.1007/s11590-014-0769-z) and polyhedral convex constraints. Algorithm development should particularly focus on the investigation of novel approaches that are globally convergent and globally optimal. General approaches that are convergent to a stationary point (not guaranteed to be globally optimal) have already been developed for duplomonotone functions (e.g., https://arxiv.org/abs/1703.07461 ), and are therefore no longer of interest. Achieving global optimality, by exploitation of mathematical structure particular to the generalised monotone variational inequalities arising in biochemistry is expected. Specifically, the duplomonotone functions arising in biochemistry are closely connected to a class of hypergraphs, each member of which admits an established decomposition into a finite set of graphs. Details of the nature of the intrinsic mathematical structure shall be provided by closely collaborating with mathematical biochemists, as part of a synergistic interdisciplinary team of mathematicians, computational engineers and biochemists. Collaborating computational engineers will be responsible for all computational implementation and application of novel algorithms, enabling a purely mathematical focus for this role. If novel algorithms have applications outside the modelling of biochemical reaction networks, this is a bonus, not a prerequisite. This role is only suited to a candidate with a genuine interest in biological applications of optimization. Your Profile A PhD in mathematics or applied mathematics, or a related discipline. A comprehensive understanding of, and evidence of primary research within, Variational Analysis and Generalised Monotonicity is essential. Experience with formulation of asymmetric variational inequalities problems as the solution of globally convergent optimisation algorithms, that are amenable to efficient implementation, is desired. Experience with solution of generalized monotone variational inequalities with gap function based approaches, is desired. No knowledge of reaction networks, biochemistry, or biology is expected, but a willingness to work as part of an interdisciplinary team is essential. Excellent written English is essential. Further Information Informal enquiries can be made to: Dr. Ronan Fleming, Systems Biochemistry Group, Luxembourg Centre for Systems Biomedicine. https://wwwen.uni.lu/lcsb/research/systems_biochemistry Ronan M.T. FLEMING" We offer A fully funded position with a competitive salary. An opportunity to join the Systems Biochemistry Group within the Luxembourg Centre for Systems Biomedicine with an international and interdisciplinary ethos. The University is an equal opportunity employer. Further Information Applications (in English) should contain the following documents: A detailed curriculum vitae Cover letter mentioning the reference number List of publications Description of past research experience and how future interests complement the proposed role Name and addresses of three referees Please apply online until 15 th February 2018.
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.