stillingsbetegnelse: Professor of Risk-based Decision Support

jobbeskrivelse:
DTU Management Engineering invites applications for a position as Professor focused on health risk assessment aimed at decision support for government and industry. The scientific focus is quantitative risk assessment methodology and disease burden estimation as applied in technologically intense production systems. The Professor will be affiliated to the Quantitative Sustainability Assessment Division, which hosts the newly formed Global Decision Support Initiative (GDSI), a new DTU competence center focused at optimizing our research base relative to quantitative assessments of risk and sustainability. At GDSI the following system areas are presently considered: food production, water management, transport infrastructure assessment and natural hazard risk mitigation. The link between these areas is a common scientific, model-based approach to risk assessment in support of science-based risk management. Risk-based decision support is an important research area where a coherent inclusion of relevant metrics has not yet been standardized throughout the full risk analysis process (comprised of risk assessment, risk management and risk communication). Research will be aimed at supporting evidence based policy making with state-of-the-art models capturing inherent complexity and supplying sound scientific data, covering different sectors. In a broader sense risk-based decision support research is intended to assist national governments and intergovernmental bodies in solving complex problems using evidence based methods that are either novel, or have proven their utility in other countries and/or settings. The successful candidate will play an important role in developing international collaborative research related to the GDSI initiative in collaboration with international universities and relevant organizations. Responsibilities and tasks The main responsibility of the professor will be to develop, implement, manage, supervise, and communicate research in risk-based decision support. Specifically, the professor is expected to advance our current expertise in the use of stochastic modelling to describe risk distributions as well as estimating disease burden through Disability Adjusted Life Years and related metrics. It will be important to anchor such assessments and estimations in broader Risk Analysis frameworks as developed internationally. The research should focus on: •Comparison of risk model experience between food safety, nuclear safety and civil engineering •Comparison of metrics of disease burden – DALY’s, QUALY’s, LQI, J-index •Evaluation of policy intervention experience based on science-based assessments •DNA sequencing in microbiology – the potential to build global decision support systems •Risk Governance – international comparisons of models for science involvement •Methodology of scientific risk assessment used by Intergovernmental bodies A key task of the position is to establish synergies between the outlined research area and related activities at DTU Management Engineering and other departments participating in GDSI. Special emphasis will be placed on cross-sectoral links to quantitative sustainability assessment and comparisons of existing scientific methodology from different fields that can support science-based policies to support new and more accurate insights. The professor is also expected to establish relations to other relevant research groups at DTU. The successful candidate will be responsible for supervising PhD students and is expected to be involved in other teaching activities related to bachelor and master level students. The professor must be capable of, and motivated to educate a new generation of engineers across all technical disciplines in risk assessment and science-based decision support by providing educational initiatives at all curricular levels. Qualifications The candidate must demonstrate international recognition within the use of quantitative risk assessme

Arbejdsgiver Navn: Danmarks Tekniske Universitet

Arbejdsgiver telefonnummer: 45252525

Arbejdsgiver faxnummer: 45881799

Job kort beskrivelse:
Undervisning og forskning på universiteter og højere læreranstalter

land: Danmark

region: Hovedstaden

Kontrakt varighed: Fast

Kontrakttype: Fuldtid

krævede uddannelse: Ikke angivet

Kilde til jobtilbud: AMS, Offentlige arbejdsformidlinger, Danmark