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教职招聘|瑞典查尔姆斯理工大学和哥德堡大学招募副教授/高级讲师(数学优化和计算数学方向)

教职招聘|瑞典查尔姆斯理工大学和哥德堡大学招募副教授/高级讲师(数学优化和计算数学方向) 运筹Offer
2023-05-23
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About the position

We are looking for a highly motivated researcher and teacher in mathematical optimization to join us as a senior lecturer or an associate professor, to strengthen our research groups in mathematical optimization and computational mathematics at the division of Applied Mathematics and Statistics, Department of Mathematical Sciences.


Researchers at the division conduct internationally recognized research in areas such as the theory and implementation of finite element methods, mathematical optimization, inverse and ill-posed problems, kinetic equations, stochastic partial differential equations, geometric integration, biomathematics, spatial statistics, and data science. More specifically, current research within mathematical optimization at the division focuses on modelling of applied optimization problems as well as developing theory and algorithms for the solution of these models.


Information about the department and the research

The Department of Mathematical Sciences belongs to Chalmers University of Technology and the University of Gothenburg. The department has about 200 faculty and staff and is one of the largest departments of mathematical sciences in the Nordic countries. We teach a broad spectrum of courses across programs at the two universities. Internationally high-level research is pursued in both pure and applied mathematics, as well as in mathematical statistics.


Major responsibilities

We look forward to your contribution to our research in the area of mathematical optimization, interpreted in a broad sense. This includes, but is not limited to, linear and integer optimization, non-linear programming, combinatorial optimization, non-smooth optimization, inverse problems, optimal control, calculus of variations, machine learning, multilevel optimization, operations research, as well as modelling and solution of applied optimization problems.


You will teach mathematics at all levels, including supervision of undergraduate, master, and PhD students. Current undergraduate and master’s levels teaching in mathematical optimization at the division includes linear, non-linear, and integer optimization, as well as decomposition methods for large-scale optimization. Our academic year is divided into four quarters, and it is usually possible to organize the teaching assignments so that one or two quarters are free of teaching.


You will conduct independent research in collaboration with our researchers as well as with external collaborators. You are expected to actively apply for external funding for your research projects. There will also be some departmental committee work.


Qualifications

You must have a doctoral degree in mathematics or in another relevant field. A good record of academic research and well-documented university level teaching experience are required. Your research in mathematics should address the development of theory, modelling, and computational methods within the field of optimization, while applications of the mathematical research to various areas of science, engineering, and economics, as well as competence in operations research, are meritorious.


The following qualifications are also meritorious:

- Postdoctoral positions or corresponding, especially at another institution or organization than where the doctoral studies were performed,

- Experience of teaching in mathematical optimization,

- Experience of course development and program management,

- Shown ability to attract external funding.


If you have not taken courses on teaching in higher education, you are expected to take such courses — given at Chalmers — within two years.


The position requires good verbal and written communication skills in English. If needed, Chalmers offers Swedish language courses, with the aim that you will be able to teach in Swedish within two years.


Application date

Application deadline: 2023-06-11


How to apply 

https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=p11730


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