Deep Learning, Keras software library, Linear Algebra, Machine learning techniques, Mathematical modeling, Python Programming, PyTorch, Statistical modeling, TensorFlow
HOURS PER WEEK: 38 to 40
FACULTY: Faculty of Science
DEPARTMENT: Department of Information and Computing, research group Algorithmic Data Analysis
APPLICATION DEADLINE: 7 January 2023
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.
Qualifications
We are looking for an enthusiastic new colleague who meets the following criteria:
Offer
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.
About the organisation
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.
Utrecht University is a public research university in Utrecht, Netherlands. it is one of the oldest universities in the Netherlands. In 2018, it had an enrollment of 31,801 students, and employed 7,191 faculty and staff. In 2018, 525 PhD degrees were awarded and 6,948 scientific articles were published.
Utrecht, Netherlands
0-2 year