Postdoc in Mathematics with a Focus on Process Optimization
Postdoc in Mathematics with a Focus on Process Optimization
KTH - Royal Institute of Technology
Stockholm, Sweden
Job description
In the project you will be developing optimization methods for solving optimization problems with multiple objective functions and where some variables are determined by running a simulator. The goal is for the methods to be applied to LKAB's processes.
Qualifications
Requirements
- A doctoral degree or an equivalent foreign degree within a relevant field (e.g., Optimization, Operations Research, or Process Systems Engineering). This eligibility requirement must be met no later than the time the employment decision is made.
- Strong knowledge of optimization algorithms. Experience of modeling optimization problems.
- Proficiency in programming in Python, C, C++, or Julia.
- Good communication skills in English, both written and verbally, as this is needed in the daily work.
- Evidence of research expertise in Optimization/Operations Research/Process Systems Engineering, such as published articles in Q1/Q2 ranked journals and peer-reviewed conferences.
Preferred qualifications
- A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline.
- Experience/knowledge in one or more of the following subjects: algorithm development, black-box optimization, multi-objective optimization, process optimization, process simulation, derivative free optimization, and simulation-based optimization
- Pedagogical skills (you will be given opportunities to teach to a limited extent)
- You can work independently and have good collaborative skills. Furthermore, you are aware of diversity and equal treatment issues with a particular focus on gender equality
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