PhD Position in Formal Methods and Machine Learning

Updated: 4 months ago
Deadline: 11 Jun 2023

12 May 2023
Job Information

Delft University of Technology (TU Delft)
Research Field

Researcher Profile

First Stage Researcher (R1)

Application Deadline

11 Jun 2023 - 21:59 (UTC)
Type of Contract

Job Status

Not Applicable
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

You will conduct both theoretical and empirical research on real-time monitoring and verification of AI under the real-world uncertainties. We envision the project to have significant scientific impact in the intersection of formal methods and machine learning.

You will be part of the Algorithmics Group in the Department of Software Technology of the Faculty of Electrical Engineering, Mathematics and Computer Science. As a PhD researcher, you will reinforce and extend the group’s expertise in the interdisciplinary field combining formal methods and machine learning. You will work in a dynamic and diverse environment of other PhD and postdoc researchers excited about making theoretical and algorithmic contributions in intelligent decision making.

Specific Requirements

To be the successful candidate, you should

  • have a Master’s degree in computer science, information/computer/software engineering, or mathematics,
  • have firm foundations in formal methods and algorithm design,
  • preferably have prior experience with machine learning or statistical analysis,
  • have strong programming skills,
  • have research mindset,
  • have collaborative attitude,
  • are proficient in written and spoken English.

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 .

Additional Information

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 € 2541 per month in the first year to € 3247 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 sport memberships, 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.

Selection process

Are you interested in this vacancy? Please apply before June 12, 2023, via the application button and upload:

  • (pdf 1) your academic CV, including at least one contact for reference;
  • (pdf 2) a motivation letter, including explanation of your motivation for this PhD role and interest in this project;
  • (pdf 3) your Master’s thesis or a paper that you have written, in which you demonstrate your writing (and scientific) skills;
  • (pdf 4) a transcript of your grades.

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.

Please do not contact us for unsolicited services.

Additional comments

For more information about this vacancy, please contact Dr. Anna Lukina , who will be the daily supervisor for this position.

Website for additional job details

Work Location(s)
Number of offers available
Delft University of Technology
Postal Code
2628 CD
Mekelweg 2

Where to apply



Mekelweg 2
Postal Code

2628 CD

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