1 dag geleden - Universiteit Utrecht (UU) - Utrecht
PhD: Tensor-based methods for large-scale sensor fusion and Gaussian process regression
The vast amounts of data that are nowadays available open up for exciting applications but also result in challenges concerning the computational complexity …
- Mekelweg, Delft, Zuid-Holland
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 - 38 uur
- € 2325 - € 2972 per maand
The vast amounts of data that are nowadays available open up for exciting applications but also result in challenges concerning the computational complexity for processing this data. The current PhD position specifically focuses on the fields of sensor fusion and Gaussian processes for the modeling of dynamical systems. Possible applications are system identification, indoor localisation and human motion estimation. The computational complexity forbids the application of these methods on truly large-scale datasets.
Over the past decade, tensor methods have been shown to potentially lift this curse of dimensionality in large-scale problems and it is in this context that the current PhD position is situated. The candidate will conduct both theoretical and algorithmic research on the use of tensor decompositions for sensor fusion and for large-scale Gaussian processes. The ambition throughout this PhD is to develop methods that outperform the current state-of-the-art.
This position is located in the Data Driven Control section within DCSC. Within this section of DCSC the focus is on the analysis and decision making for large-scale (in size) multi-disciplinary dynamical systems. It addresses the question about what model complexity is necessary for all individual system components in order to use data-driven models for reliable and robust model based diagnostics, parameter estimation, monitoring and control.
We are looking for a talented, outstanding candidate with an M.Sc. degree (or close to completion) in Systems and Control, or Applied Mathematics, Electrical or Mechanical Engineering, or a related field, with a theoretical background and interest in Numerical Linear Algebra, Sensor Fusion, Gaussian Processes, Optimization, and with good command of the English language (knowledge of Dutch is not required). Experience in numerical programming is important. Typical programming languages used are: Python, Matlab, Julia.
The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit TU Delft Graduate School for more information.
TU Delft creates equal opportunities and encourages women to apply.
For more information about this position, please contact dr.ir. Kim Batselier, assistant professor, via e-mail: firstname.lastname@example.org. Applications shall be emailed to: application-3mE@tudelft.nl .
When applying for this position, please refer to vacancy number 3mE19-59.
An application dossier consists of the following documents:
- detailed curriculum vitae and list of publications;
- a brief statement of motivation and research interests (up to 1 page);
- academic transcripts of all the exams taken and all the obtained degrees (in English);
- names and contact information of up to three references (e.g., project/thesis supervisors);
- up to three research-oriented documents (e.g., thesis, conference/journal publications).
The starting date is as soon as possible.
The call for applications will remain open until the ideal candidate is found. However, for full consideration please apply by August 24th, 2019.
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