PostDoc in Uncertainty Quantification and Stochastic Optimization
at Aarhus Universitet
Aarhus, Region Midtjylland, Denmark -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 03 Dec, 2024 | Not Specified | 19 Nov, 2024 | N/A | Good communication skills | No | No |
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Description:
Are you interested in uncertainty quantification and optimization under uncertainties? Are you thrilled to work within a multidisciplinary team focusing on the development of novel reliability methods and high-quality research in collaboration with leading research and industrial partners? This is your opportunity to join the research team on a cutting-edge EU-funded research project.
We’re looking for highly motivated candidates for a full-time postdoctoral researcher position. The advertised position is for 1.5 years (18 months) with a potential 1 year extension depending on performance and funding availability. The position is available from January 15, 2025, or a soon as possible thereafter.
JOB DESCRIPTION
The EU-funded ACCURATE project aims to boost the competitiveness of European manufacturing companies and value chains by improving their sustainability, performance stability, resilience, and ability to manage unforeseen events. To achieve these benefits, the postdoc project tasks include:
- Developing a framework for multi-objective optimization under uncertainties for manufacturing services and supply chain networks.
- Integrate sustainability and circularity metrics into a stochastic optimization loop with constraints on reliability and resilience.
- Apply reliability- and robustness-based optimization in manufacturing planning in collaboration with leading industrial partners in the ACCURATE project consortium.
- Collaborate with the ACCURATE project partners to deploy and validate the developed solutions in real-world industry cases.
WHO WE ARE
The Design and Manufacturing section at Department of Mechanical and Production Engineering focus on pioneering research with an interdisciplinary approach targeting product development, manufacturing processes, production technologies and value chain optimization.
The PostDoc project will be within the Reliability Modelling & Optimization Lab led by Assistant Prof. Rami Mansour and the Lifecycle Design and Manufacturing Lab led by Associate Prof. Devarajan Ramanujan as well as co-supervised by Associate Prof. Jalil Boudjadar from the Department of Electrical and Computer Engineering. The postdoctoral researcher will be part of an existing interdisciplinary research team of 5 researchers (3 faculty members, 1 PhD, 1 Postdoc) working on the ACCURATE project, between the Mechanical and Production Engineering and Computer Engineering departments at Aarhus University.
Responsibilities:
- Developing a framework for multi-objective optimization under uncertainties for manufacturing services and supply chain networks.
- Integrate sustainability and circularity metrics into a stochastic optimization loop with constraints on reliability and resilience.
- Apply reliability- and robustness-based optimization in manufacturing planning in collaboration with leading industrial partners in the ACCURATE project consortium.
- Collaborate with the ACCURATE project partners to deploy and validate the developed solutions in real-world industry cases
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Mechanical or Industrial Engineering
Engineering Design / R&D
Mechanical Engineering
Graduate
Proficient
1
Aarhus, Denmark