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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.
Assessment
The assessment of the applicants will be made by Associate Professor Martin S. Andersen.
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 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
Further information may be obtained from Associate Professor Martin S. Andersen, mskan@dtu.dk, 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.
Application procedure
Your complete online application must be submitted no later than 18 June 2021 (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:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma
- Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
You may apply prior to obtaining your master’s degree but cannot begin before having received it.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
Apply for this job
Apply no later than 18 June 2021
Apply for the job at DTU Compute by completing the following form.
