项目介绍

2024年5月30日

Reinforcement learning has led to major breakthroughs, from beating champions in complex games to enabling autonomous navigation. However, the limited understanding of how reinforcement learning algorithms work restricts their application to problems requiring robust and predictable solutions. Would you be interested in collaborating with us to advance the understanding of this field?

Job description

We are looking for a motivated candidate to work on the topics of theoretical machine learning, specifically in the domain of sequential decision making, which includes bandit problems and theoretical reinforcement learning. The primary objective of this project is to analyze and design learning algorithms and provide formal guarantees regarding their performance. To achieve this, you will need to apply advanced mathematical and statistical techniques. The project is situated in the context of efficient online learning, with a focus on scaling with model complexity and function approximation.

Requirements

• Hold a master’s degree in computer science, mathematics, physics, or a related discipline.
• Demonstrate eagerness to tackle complex mathematical challenges.
• Have proficiency in both written and spoken English.
• Knowledge of machine learning, statistics and optimization.

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.

Conditions of employment

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Additional information

For scientific inquiries regarding this vacancy, please contact Julia Olkhovskaia via email: I.M.Olkhovskaia@tudelft.nl.

Please inform me if you have submitted an application to the ELLIS PhD program. I will also be reviewing applications from this program as a potential advisor.

About the environment: TU Delft consistently ranks very high among institutions of higher education globally and has a very large and active academic community of approximately 30,000 people from all corners of the world. As a city, Delft is one of the most charming cities in the Netherlands, with close connections to Rotterdam and The Hague and is within 1.5 hours’ reach of Amsterdam.

Application procedure

Are you interested in this vacancy? Please apply before July 6, 2024, via the application button and upload the following material:

• A detailed CV
• Transcripts of BSc and Msc grades (in English, no official translation needed)
• Contact information of 2-3 references
• A motivational letter explaining your research interest, why you are interested in this position and what do you hope to gain. (max 2 pages)
• Optional: examples of your technical writing, can be a draft (Master thesis, publication, project report)

A pre-employment screening can be part of the selection procedure.

You can apply online. We will not process applications sent by email and/or post.