Application is currently ongoing for a postdoctoral research position on Decision Support in Food Systems in the Department of Industrial Engineering & Innovation Sciences TU/e University of Technology, Netherlands.
Food systems are increasingly burdened by a growing world population, dwindling resource availability, and climate change. Increasing their resilience seems obvious, but resilience is an emergent system property affected by environmental, economic, and social processes. There are considerable sources of uncertainty in these processes. Moreover, decision making around food systems involves many trade-offs and user objectives. As a result, decisions aimed at improving food system resilience might not have the desired effect.
Current decision support is still primarily based on the perception of risk (hazard times exposure times vulnerability) and draws heavily from agricultural indicators and models to monitor and predict hazards while ignoring uncertainty in a broader sense. The project aims at filling this gap and developing decision making would be better served by ‘embracing’ uncertainty. So, they propose the development of decision support tools that explicitly include uncertainty. These tools will advance state-of-the-art decision support tools for food systems:
- exploring different uncertainty sources;
- identifying the dependence of uncertainty sources;
- identifying possible scenarios affecting system resilience;
- qualitatively and quantitatively assessing the likelihood of different scenarios;
- considering the assessed scenarios in decision-making models.
Duration: 1.5 years.
Successful candidates enjoy the following benefits:
- Free access to high-quality training programs on general skills, didactic, and topics related to research and valorization.
- A broad package of fringe benefits (including an excellent technical infrastructure, moving expenses, and savings schemes).
- A gross monthly salary and benefits in accordance with the Collective Labor Agreement for Dutch Universities.
- Family-friendly initiatives are in places, such as an international spouse program, and excellent on-campus children day care and sports facilities.
Candidates should meet the following requirements:
- Have a Ph.D. in quantitative science with experience in Operations Research or a comparable domain
- Have sufficient knowledge of quantitative modeling and analysis
- Be able to conduct high-quality academic research, demonstrated for instance by a relevant PhD thesis and publication(s).
- Have the ability to teach, shown by experience or assistance in teaching and positive evaluations of these teaching efforts.
- Excellent mastering of the English language, good communication, and leadership skills.
- Is a team player and is able to work in a dynamic, interdisciplinary context.
The application should include a:
- Curriculum vitae, including a list of publications and the contact information of three references
- Cover letter describing applicants’ motivation and qualifications for the position.
- List of five self-selected ‘best publications.
Application Deadline: January 3, 2021
For more information and application, visit the official site.