Post-doc: Fault Diagnosis and Predictive Maintenance of Maritime Structures
The researcher will conduct fundamental theoretical and algorithmic research on model-based fault diagnosis and prognosis of large scale structures, with …
- Mekelweg, Delft, Zuid-Holland
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 - 40 uur
- € 3111 - € 4081 per maand
The researcher will conduct fundamental theoretical and algorithmic research on model-based fault diagnosis and prognosis of large scale structures, with possible applications to structures in the Wind Energy or Offshore sectors.
The researcher will join a multi-disciplinary team lead by Dr. Xiaoli Jiang, from the Maritime and Transport Technology department, and by Dr. Riccardo Ferrari, from the department of Delft Center for Systems and Control.
The post-doctoral researcher will be supposed to bridge the expertise of the two departments by developing predictive maintenance strategies rooted on novel model-based diagnosis and prognosis techniques, and applying them to the context of Maritime and Offshore field.
We are looking for a talented post-doctoral research fellow with background and interest in System Theory, Structural Health Monitoring and Predictive Maintenance; strong mathematical skills and proficiency in numerical simulations; a track record of publications in high-quality journals and/or conferences; and an excellent command of the English language (knowledge of Dutch is not required).
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.
For information about this position, please contact dr Riccardo Ferrari, Assistant professor, email: email@example.com, or dr Xiaoli Jiang, Assistant Professor, email: firstname.lastname@example.org. For information about the selection procedure, please contact Nathalie van Benthem, HR advisor, email: application-3mE@tudelft.nl.
To apply please submit;
- a detailed curriculum vitae,
- statement of motivation and research interests,
- transcripts of all exams taken and obtained degrees,
- contact data of two academic references,
by 1 July 2018 to Nathalie van Benthem, email: application-3mE@tudelft.nl.
When applying for this position, please refer to vacancy number 3mE18-39.