Are you interested in conducting cutting-edge research within the intersection of optimization and data science? We offer the chance to join a dynamic and international research environment as a PhD student in the Section for Scientific Computing at the Department of Applied Mathematics and Computer Science . The position is fully funded and part of a five year-long project titled “Scalable Optimization for Data Science” which is funded by the Novo Nordisk Foundation. 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.
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. Since we will focus on exploiting hidden mathematical structure in problem formulations and data sets, the potential applications are wide-ranging.
Responsibilities and qualifications
As one of three PhD students, 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. 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 and be expected to:
- carry out research under supervision and disseminate findings
- participate in scientific activities such as conferences, workshops, summer schools, etc.
- complete relevant coursework (30 ECTS)
- serve as a teaching assistant
- go on an external research stay (typically 3-6 months)
- co-supervise BSc and/or MSc student projects
You have completed a master’s degree within applied mathematics, science and/or engineering, and you have an interest in and knowledge of optimization and numerical linear algebra.
In addition, you are fluent in English, have strong communication skills and have programming experience in, e.g., Python, MATLAB, or Julia.
You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide .
Salary and appointment terms
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 preferred start date is 1 September 2021, or as soon as possible thereafter.
You can read more about career paths at DTU here .
Further information may be obtained from Associate Professor Martin S. Andersen, email@example.com , tel. (+45) 4525 3036.
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark .
To apply, please read the full job advertisement here: PhD scholarship in Optimization for Data Science
Application deadline: 18 June 2021
Read more about DTU at www.dtu.dk/english
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