Postdoc in Optimization for Data Science

fredag 19 nov 21

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Frist 2. januar 2022
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Are you interested in conducting cutting-edge research at the intersection of optimization and data science? We offer the chance to join a dynamic and international research environment as a postdoctoral researcher in the Section for Scientific Computing at the Department of Applied Mathematics and Computer Science. The position is part of a five-year-long project titled “Scalable Optimization for Data Science,” which is funded by the Novo Nordisk Foundation.

Together with the project group, you will help shape and develop a new generation of optimization methods for increasingly large and complex problems within data science. The potential applications are wide-ranging since we will focus on exploiting hidden mathematical structure in problem formulations and data sets. Our goal is to develop new computational methods for detecting and exploiting various kinds of complex rank structure in optimization problems that arise in data science. 

Responsibilities and qualifications
As part of a team, you will contribute to the design of new, fast computational methods for optimization problems with certain types of structure such as rank structure and/or sparsity. A specific task will be to investigate how to detect and utilize various forms of hierarchical rank structure, e.g., in non-symmetric interior-point methods. You will also have the opportunity to apply these methods to real datasets as proof of concept.


You will work closely with the rest of the project team (the PI and three PhD students) and have the opportunity to:

  • carry out research and disseminate findings,
  • participate in conferences and/or workshops,
  • teach and supervise BSc and MSc student projects and co-supervise PhD students,
  • help organize a workshop and student events.

You have significant experience with mathematical optimization and have a background in a relevant field such as applied mathematics, engineering or computer science.

As a formal qualification, you must hold a PhD degree (or equivalent).

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
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. The period of employment is 3 years. The start date is 1 March 2022 or according to mutual agreement.

You can read more about career paths at DTU here.

Further information

Further information may be obtained from Associate Professor Martin S. Andersen, mskan@dtu.dk, tel. (+45) 4525 3036.

You can read more about DTU Compute at www.compute.dtu.dk/english


If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.


Application procedure
Your complete online application must be submitted no later than 2 January 2022 (Danish time).Applications must be submitted as one PDF file containing all materials to be given consideration. 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. The file must include:

  • Application (cover letter)
  • CV
  • Academic Diplomas (MSc/PhD)
  • List of publications

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU Compute
DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections 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. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.


The Section for Scientific Computing has a strong track record of research within various branches of applied mathematics, including PDEs, inverse problems, numerical linear algebra, and optimization.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.