BEMÆRK: Ansøgningsfristen er overskredet
We are looking for an ambitious candidate for a PhD project to focus on development of heuristics for stochastic optimization.
You will be responsible for developing fast heuristics or MIP-models for solving two-stage optimization problems, such that many alternatives can be investigated.
As part of the PhD you will be following advanced courses to extend your skills, implement and test algorithms, and learn to write scientific papers.
In DECIDE we will develop a new framework for investment decision making under uncertainty based on a combination of machine learning and operations research. Instead of solving a complex stochastic optimization problem defined on a fixed set of forecasted scenarios, we will use an iterative process that allow us to generate a palette of near-optimal solutions. Knowing the full spectrum of possible choices enables a much broader discussion of investments, leading to a more transparent and inclusive decision process.
The developed models will be tested on data from energy investment models, as well as transport infrastructure problems.
We will be an academic team of 3 PhD students and 4 PostDocs at DTU, as well as several international experts.
The project is headed by David Pisinger who has published several papers in the field, and who has supervised more than 30 PhD students.
DECIDE is funded by Horizon ERC Grants (ERC-2022-ADG).
Responsibilities and qualifications
As part of the DECIDE project you will be working on developing next generation of tools for decision making under uncertainty. You must:
- Have experience in developing fast algorithms for hard combinatorial optimisation problems.
- Know MIP-models and how to solve them with CPLEX / Gurobi.
- Have knowledge about implementation of metaheuristics.
- Possess some basic knowledge about machine learning and AI would be good, to improve collaboration with other work packages.
- Be passionate for research and for pushing the scientific frontiers.
- Have excellent programming skills.
- Have good collaboration skills.
- Have excellent communication skills in English, spoken as well as written.
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.
It would be an advantage if you have taken some courses in stochastic optimization or advanced algorithms.
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 DTU's rules for the PhD education
.
Assessment
The assessment of the applicants will be made by two representatives from DTU Management.
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. Starting date is 1 January 2024 (or according to mutual agreement). The position is a full-time position.
You can read more about career paths at DTU here http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths.
Further information
Further information may be obtained from Professor, David Pisinger (DTU), tel.: +45 4525 4555, email: dapi@dtu.dk
.
You can read more about DTU Management at www.man.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
. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar
” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.
Application procedure
Your complete online application must be submitted no later than 20 November 2023 (23:59 Danish time)
. Applications must be submitted as one PDF file
containing all materials to be given consideration. To apply, please open the link "Apply now", 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 (in English) including official description of grading scale
- A research statement (2-3 pages) explaining your ideas and relevant literature.
Applicants not providing all the above material will not be considered.
You may apply prior to obtaining your master's degree but cannot begin before having received it.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
About us
DTU Management conducts excellent research in the intersection between management, technology and economics. We develop solutions in close cooperation with companies and public authorities. Our research aims at strengthening welfare, productivity, and sustainability within society. A key element is the role of technology and its interaction with industry and individuals. The department is divided into four divisions: Technology & Business Studies, Management Science, Climate & Energy Policy and Transportation Science. The department offers a wide range of courses and programs at bachelor, master and PhD level across DTU’s study pro-grams. The department has around 200 employees, with around half coming from abroad.
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 mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 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.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Lyngby-Taarbæk Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Danmarks Tekniske Universitet, Anker Engelunds Vej, 2800 Kongens Lyngby
-Ansøgning:
Ansøgningsfrist: 20-11-2023; - ansøgningsfristen er overskredet
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5937871
