Delft University of Technology
PhD Position in Monitoring and Safety Verification for the Dutch Railways. Challenge: Real-time monitoring of deployed plans and human-in-the-loop adaptation to disruptions. Change: Synergy between formal methods and machine learning. Impact: Robust deployment of automated systems in the real world.
The main difference between offline planning and online deployment of automated solutions in modern applications is that the real world can exhibit changes not accounted for in a simulated environment. In practice, we need to identify when the system may not be doing what we expect and adapt to it quickly. The challenge of this project is to support experts in formally monitoring automated systems and promptly adapting to the real-world disruptions.
We consider human feedback to be essential for achieving reliability of automation in the real world. We believe in the hidden synergies between formal and machine learning. You will conduct both theoretical and empirical research on real-time monitoring and safety verification of automated plans under the real-world uncertainties. We envision the project to have both significant scientific and practical impact for the Dutch Railways.
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. In addition, you will collaborate with experts at the Dutch Railways and ProRail and four PhD students addressing other aspects of railway automation.
To be the successful candidate, you should
- have a Master’s degree in computer science, information/computer/software engineering, ir 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 .
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 we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.
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!
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines – electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 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.
For more information about this vacancy, please contact [Dr. Anna Lukina](https://annalukina.com/), who will be the daily supervisor for this position.
Are you interested in this vacancy? Please apply before May 15, 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 interest in the 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.
Acquisition in response to this vacancy is not appreciated.
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