PhD scholarship in Operations Research for Energy Systems, at DTU Management, Technical University of Denmark
Deadline to Apply
May 25, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Research Area||– Computer Science|
– Applied Mathematics
– Energy Engineering
|Scholarship||According to standard norms|
Technical University of Denmark
|Contract Period||3 Years|
|Starting date||June 2021|
- An MSc degree (120 ECTS points) in Computer Science, Applied Mathematics and Statistics, Energy Engineering or similar.
- Good programming capabilities in at least one language such as Python, Julia, R, Matlab. Knowledge of optimization solvers is a plus.
- Good understanding of operations research methods such as stochastic programming, dynamic programming and chance-constrained optimization. Knowledge of game theory
- Knowledge of, or willingness to learn, methods within data science, e.g., involving machine learning, reinforcement learning, predictive and prescriptive analytics.
- A healthy interest for operations research and application to energy systems.
- Knowledge of game theory
- Ability to present results in technical reports, and prepare scientific papers for publication in international journals
- Good communication skills in English, both orally and written.
- Willingness to engage in group-work with a multi-national team.
You will develop generic approaches to multi-scale decision-making under uncertainty, also in a rigorous game-theoretical framework. Potential use cases cover storage and demand response, as well as multi-energy systems (e.g., considering district heating and P2X), in relation with the activities and demonstration site at l’X. This will necessarily also involve forecasting at various time scales. You will have relative freedom in the way the project may develop, depending on your interest and qualifications.
Some example tasks may include:
- Reviewing and replicating the state of the art in multi-scale decision-making
- Defining and setting up stylized versions of alternative use cases, e.g., storage, demand response, etc.
- Explore alternative approaches to multi-scale decision-making, e.g., bending stochastic optimization and control, stochastic dynamic programming, etc.
- Explore connections to forecasting and forecast uncertainty
- Assess the benefits of multi-scale decision-making in energy system management
You will ideally spend a period of 6-12 months at l’X and engage in joint research work in applied mathematics for energy systems. This will be an opportunity to interact with mathematicians, meteorologists and climate scientists, as well as with the implementation and operation of their energy system demonstrator.
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
- Grade transcripts and BSc/MSc diploma
- Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
About DTU Management
DTU Management contributes actively to the development of management tools and optimization of processes by using and re-thinking theoretical engineering perspectives, models, and methods. Through our research and teaching, we ensure an innovative, competitive, and sustainable organization and use of technologies within areas such as energy and climate, transportation, production and health, both domestic and abroad. DTU Management Engineering has 350 employees, including around 70 PhD students. More than 20% of our employees are from abroad and a total of 38 different nationalities are represented at the Department.
- 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.
Professor Pierre Pinson
Tel: +45 2398 3221).
Post expires at 8:59am on Wednesday May 26th, 2021 (GMT+9)