PhD position in Predictive Asset Maintenance using Operations Research and Machine Learning (1.0 FTE)

PhD position in Predictive Asset Maintenance using Operations Research and Machine Learning (1.0 FTE)

Published Deadline Location
10 Nov 7 Jan Utrecht
Join us and contribute to the development of Predictive AI and Optimisation models for intelligent asset maintenance!

Job description

Modern vehicles are equipped with sensors that continuously monitor the health of components. The availability of sensor measurements opens up the opportunity to analyse degradation trends over time, and to plan maintenance accordingly. We aim to develop predictive maintenance models for fleets of vehicles whose health is continuously monitored by sensors.

In this research project you will analyse datasets and investigate the degradation trends of components based on time series of measurements. You will be working towards accurately estimating the degradation of components and striving to predict when failures are likely to arise. For this, you will develop Remaining-Useful-Life (RUL) prognostics using machine learning algorithms and/or stochastic processes.

You will further develop optimisation models that integrate RUL prognostics to schedule maintenance tasks (e.g., component replacement, component inspection). The objectives of the optimisation models are: to minimize maintenance costs, maximize the lifetime of components, and limit the probability of a failure. You will use RUL prognostics to guide the scheduling of maintenance tasks.

By conducting simulations, you will analyse the performance of your RUL prognostics and optimisation models.

This is a PhD position for 5 years, which includes research as well as teaching. You will spent approximately 30% of your time on varying teaching support activities. We offer the opportunity to take significant steps towards acquiring a basic teaching qualification (BKO), which qualifies you as a teacher in the Dutch higher education system.

Specifications

Utrecht University

Requirements

We are looking for an enthusiastic new colleague who meets the following criteria:

  • you hold a Master’s degree in Operations Research, Applied Mathematics or Computer Science, or you are within a few months from the completion of your MSc degree;
  • you are familiar with optimization methods (linear programming, stochastic dynamic programming) and machine learning algorithms;
  • you have demonstrated programming skills (familiarity with Python is a plus);
  • you possess collaboration and communication skills with an independent outlook in defining and solving research problems;
  • you are proficient in English.

Conditions of employment

  • A PhD position for 5 years;
  • A full-time gross salary ranging from € 2,541 to €3,247 in scale P;
  • 8% holiday bonus and 8.3% end-of-year bonus;
  • A pension scheme, partially paid parental leave, and flexible employment conditions based on the Collective Labour Agreement Dutch Universities.

In addition to the employment conditions from the CAO for Dutch Universities, Utrecht University has a number of its own arrangements. These include agreements on professional development, leave arrangements and sports. We also give you the opportunity to expand your terms of employment through the Employment Conditions Selection Model. This is how we encourage you to grow.

For more information, please visit working at Utrecht University.

Employer

A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major societal themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Sustainability.

At the Faculty of Science, there are 6 departments to make a fundamental connection with: Biology, Chemistry, Information and Computing Sciences, Mathematics, Pharmaceutical Sciences, and Physics. Each of these is made up of distinct institutes that work together to focus on answering some of humanity’s most pressing problems. More fundamental still are the individual research groups – the building blocks of our ambitious scientific projects. For an impression, visit Working at the Faculty of Science

The Department of Information and Computing Sciences is nationally and internationally known for its research in Computer Science and Information Science. The Department provides and contributes to the undergraduate programs in Computer Science, Information Science, and Artificial Intelligence and a number of Research Master's programmes in these fields. It employs over 200 people, soon to be divided into four divisions: Interaction, Algorithms, Data Science & Artificial Intelligence, and Software Systems.


Additional information

If you have any questions that you’d like us to answer, please contact Dr Mihaela Mitici at m.a.mitici@uu.nl.

Do you have a question about the application procedure? Please send an email to science.recruitment@uu.nl.

Are you an international applicant? Then do have a look at what our International Service Desk can do for you and check the information for international staff and guests for the what and how on living in the Netherlands.

For more information, please visit working at the Faculty of Science

Specifications

  • PhD
  • Natural sciences
  • 38—40 hours per week
  • €2541—€3247 per month
  • University graduate
  • 1199993

Employer

Location

Padualaan 8, 3584 CH, Utrecht

View on Google Maps

Interesting for you

X

Apply for this job

Apply for this job

This application process is managed by the employer (Utrecht University). Please contact the employer for questions regarding your application.

Thank you for applying

Please contact the employer for questions regarding your application.

Tip: save this job as favorite in your AcademicTransfer account. This gives you an immediate overview and makes it easy to find the job later on. No account yet? Create it now and take advantage of other useful functionalities too!

Application procedure

We aim to embed good equality and diversity practices in all our activities so that we can provide an inclusive, welcoming and inspiring place to work and study regardless of age, disability, trans identity or history, marital status, pregnancy and maternity, race, religion, gender or sexual orientation.

If you are enthusiastic about this position, apply via the "Apply now" button! Please enclose:

  • your letter of motivation (at most 1 page);
  • your curriculum vitae;
  • a copy of your MSc diploma;
  • transcripts showing the grades obtained for your Bachelor and Master courses;
  • telephone numbers, and email addresses of two references;
  • Optional: a recommendation letter.

If you are within a few months from the completion of your MSc degree, we also welcome you to apply! In that case, please enclose a letter from your MSc thesis supervisor indicating when you are likely to graduate.

If this specific opportunity isn’t for you, but you know someone else who may be interested, please forward this vacancy to them.

Some connections are fundamental – Be one of them

Application procedure

Application procedure

We aim to embed good equality and diversity practices in all our activities so that we can provide an inclusive, welcoming and inspiring place to work and study regardless of age, disability, trans identity or history, marital status, pregnancy and maternity, race, religion, gender or sexual orientation.

If you are enthusiastic about this position, apply via the "Apply now" button! Please enclose:

  • your letter of motivation (at most 1 page);
  • your curriculum vitae;
  • a copy of your MSc diploma;
  • transcripts showing the grades obtained for your Bachelor and Master courses;
  • telephone numbers, and email addresses of two references;
  • Optional: a recommendation letter.

If you are within a few months from the completion of your MSc degree, we also welcome you to apply! In that case, please enclose a letter from your MSc thesis supervisor indicating when you are likely to graduate.

If this specific opportunity isn’t for you, but you know someone else who may be interested, please forward this vacancy to them.

Some connections are fundamental – Be one of them

Make sure to apply no later than 7 Jan 2023 23:59 (Europe/Amsterdam).