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  3. PhD: Aircraft maintenance scheduling incorporating component prognostic

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PhD: Aircraft maintenance scheduling incorporating component prognostic

A vacancy for a full-time PhD candidate is being offered in the group of Air Transport and Operations, TU Delft, the Netherlands. This PhD project aims to …

4 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Mekelweg, Delft, Zuid-Holland
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 - 38 uur
Salarisindicatie:
€ 2325 - € 2972 per maand
Opleidingsniveau:
WO

Functieomschrijving

A vacancy for a full-time PhD candidate is being offered in the group of Air Transport and Operations, TU Delft, the Netherlands.

This PhD project aims to develop dynamic maintenance policies that use remaining useful life (RUL) prognostics of aircraft components to determine when and which components should undergo maintenance such that aircraft downtime, operational and maintenance costs are minimized. The objectives of these project are two-fold: a) to develop advanced algorithms to predict the failure time of aircraft components, b) to develop stochastic optimization models that utilize predicted failure times to minimize aircraft downtime and maintenance costs. The optimization models should consider available flight schedules and maintenance opportunities. The scope of the project is to consider aircraft component maintenance at the fleet level, for a low to medium planning horizon. The obtained models are expected to be validated in case studies. Promising techniques to explore for this project are machine learning classification and regression algorithms, stochastic modelling and optimization, Monte Carlo simulation.

Functie-eisen

The successful candidate has:

• A Master of Science degree in the area of aerospace engineering (air transport operations) or other modes of transport, operations research, applied mathematics, computer science.

• Knowledge of machine learning techniques.

• Interest in stochastic modelling and simulation.

• Strong mathematical, analytical and programming skills.

• Excellent communication skills in spoken and written English, and teamwork skills.

• Creativity, positive attitude, and perseverance.

• Knowledge of stochastic operations research techniques is an asset.

Conditions

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. 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 www.tudelft.nl/phd for more information.

Additional information

For information about this vacancy, you can contact Assistant Professor Mihaela Mitici, m.a.mitici@tudelft.nl, tel. +3115 2787082. For information about the selection procedure, please contact Mrs. V.M. van Bragt, Management Assistant +31152782045, email v.m.vanbragt@tudelft.nl.

To apply, please send an application letter by e-mail, a curriculum vite, transcripts of BSc and MSc degrees, copies of BSc and MSc diplomas, proof of language skills if applicable, and the names of two references by March 10 2019 to Ms. V. van Bragt, v.m.vanbragt@tudelft.nl.

When applying, please refer to vacancy number LR19.04.