Research Scientist in Optimization and Uncertainty Quantification
2 months ago
We are seeking a highly motivated Research Scientist to join our team in Optimization and Uncertainty Quantification at Aarhus Universitet. This is a fantastic opportunity for you to work on cutting-edge research projects and contribute to the development of novel reliability methods and high-quality research.
Job DescriptionThe successful candidate will be responsible for developing a framework for multi-objective optimization under uncertainties for manufacturing services and supply chain networks. They will also integrate sustainability and circularity metrics into a stochastic optimization loop with constraints on reliability and resilience.
In collaboration with leading industrial partners, the researcher will apply reliability- and robustness-based optimization in manufacturing planning. The project tasks also involve deploying and validating the developed solutions in real-world industry cases.
Requirements- A PhD in Engineering, Mathematics, or Computer Science with a focus on uncertainty quantification and optimization under uncertainties.
- Knowledge in machine learning, discrete event simulation, and time-dependent reliability analysis will be considered an advantage.
- Documented experience in scientific programming, e.g., Python and MatLab.
- Proficiency in English, strong communication skills, and an excellent track record of publishing academic articles in recognized venues.
- A well-developed research infrastructure, laboratories, and access to shared equipment.
- An exciting interdisciplinary environment with many national, international, and industrial collaborators.
- A work environment with close working relationships, networking, and social activities.
- A workplace characterized by professionalism, equality, and a healthy work-life balance.
The salary range for this position is 443,000 - 514,800 DKK per year, depending on seniority as agreed between the Danish Ministry of Taxation and the Confederation of Professional Associations.
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