Applied Mathematics – Postdoc position to develop model based control algorithms for cyber-physical systems with applications in medicine and technology, in the section for Scientific Computing at DTU Compute, Technical University of Denmark
Deadline to Apply
May 25, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Research Area||Applied Mathematics|
|Salary||According to standard norms|
|Workplace||Section for Scientific Computing|
Technical University of Denmark
|Contract Period||2 Years|
|Starting date||June 01, 2021s|
- You must have a MSc degree and a PhD degree in Applied Mathematics with a strong focus on scientific computing and optimization based control.
- We expect that you have a strong profile with significant international experience in computational methods for systems and control. You must have a strong documented track record in developing model based control systems based on high-performance scientific computing.
- We expect that you have experience from industry with development of MPC algorithms and also previous international experience from a post doc position. You must be able to document previous experience with development of model-based optimization and control algorithms in C/C++ as well as in Matlab.
- Proficient knowledge of Linux and Unix-based tools for high-performance computing is required. Knowledge about industrial model predictive control systems and their implementation in C# would be considered an advantage.
- Documented knowledge of nonlinear model predictive control based on stochastic differential equations
- Experience with nonlinear MPC for reacting systems and mathematical modeling of such systems
- Strong programming skills in C/C++ and Matlab
- Knowledge of Python, Julia, Fortran and other tools for scientific computing is an advantage.
- Extensive experience with scientific publications about dynamic optimization, optimal control and topics related to model predictive control
- Fluent in spoken and written English.
- Self-reliant working style but with strong interpersonal skills and an ability to collaborate with other researchers at universities, hospitals, and in industry.
- Curious and ambitious personality with an ambition for a career in academia.
Responsibilities/ Job Description
Your tasks and responsibilities are to develop high-performance algorithms for model based control and cyber-physical systems. This involves that you
- Develop, implement and test new numerical algorithms for nonlinear model predictive control in embedded systems
- Develop algorithms for numerical simulation that can run in embedded systems and well as in high-performance computing environments.
- Develop algorithms and systems for uncertainty quantification for closed-loop systems
- Develop mathematical models for metabolism in man
- Implement a cyber-physical system based on advanced process control
- Do research and development within numerical algorithms, scientific computing and computer science for cyber-physical systems with applications in engineering, science and medicine
- Publish the results in journal papers
- Participate in practical verification of the developed systems
- Advise B.Sc., M.Sc., and PhD students
- Write applications for further funding of research projects related to model based control
You must have an interest in development of new algorithms, implementation of new algorithms, application of these algorithms, and dissemination of such algorithms and applications in journal papers.
How to Apply?
To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file.
- A letter motivating the application (cover letter)
- Curriculum vitae
- Diploma (PhD and MSc)
- List of publications
- Copy/list of 10 peer-reviewed publications that are relevant to dynamic optimization, optimal control, and NMPC and where you are the main author
About Research project
In this project, we develop model based control algorithms for cyber-physical systems with applications in medicine and technology. In particular, we will have a focus on applications related to diabetes and metabolism in man. We develop numerical algorithms tailored for real-time control systems for embedded applications that can be used in medical devices and other engineering systems. The ambition is to establish a new platform for agile implementation of model based control and cyber-physical systems. You will have an important role in development and implementation of computationally efficient algorithms from scientific computing as well as systems and control for optimization and model based control systems as well as participation in the overall cyber-physical system. The ambition is to develop a new standard of computational methods for systems and control (in particular model predictive control) that is demonstrated in cyber-medical and cyber-physical systems.
About DTU Compute
DTU Compute is a unique and internationally recognized academic environment spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard—producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science.
- The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
- If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.
John Bagterp Jørgensen
Post expires at 8:59am on Wednesday May 26th, 2021 (GMT+9)