Phd Position Application of Machine Learning to

3 maanden geleden


Delft, Nederland TU Delft Voltijd

PhD Position Application of Machine Learning to Wind Resource Assessment-
Job description

This PhD is part of the EU MSCA Doctoral Network TWEED whose overarching objective is to train the next generation of excellent researchers, equipped with a full set of technical and complementary skills, to develop high-impact careers in wind energy digitalisation.

**Requirements**:
A combination of good mathematical and analytical skills and a strong interest in numerical modelling and data analysis are required. Experience with numerical fluid dynamics and knowledge of data-driven techniques is desirable.

**Eligibility criteria**

Conditions of employment

From 1 September next, a salary increase of 3.7% applies due to a Collective Agreement amendment, followed by an additional 1% increase on 1 January 2025. In addition, most employees employed on 1 September 2024 will receive a one-off payment of €300 gross based on full-time employment.

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

Challenge. Change. Impact

Faculty Aerospace Engineering

Click here to go to the website of the Faculty of Aerospace Engineering.

Additional information

Application procedure
- CV
- Motivation
- Contact details for references
- MSc certificates

**Please note**:

- A pre-employment screening can be part of the selection procedure.
- Please do not contact us for unsolicited services.
- FACULTY/DEPARTMENT***

**Faculty of Aerospace Engineering**:

- JOB TYPE***

**PhD**:

- SCIENTIFIC FIELD***

**Engineering**:

- HOURS PER WEEK***

**36-40**:

- SALARY***

**€ 2.872,00 - € 3.670,00**:

- DESIRED LEVEL OF EDUCATION***

**University graduate**:

- VACANCY NUMBER***

**TUD05711**:



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