Phd Position Explainable Reinforcement Learning for

4 maanden geleden


Delft, Nederland TU Delft Voltijd

PhD Position Explainable Reinforcement Learning for Maintenance Planning under Uncertainty-
Improve safety in aviation by developing explainable AI systems that optimize maintenance planning under uncertainty.

Job description

The goal of this PhD is to harness the power of Reinforcement Learning (RL) to enhance air transport planning under uncertainty. It will focus on integrating maintenance scheduling and network planning, exploring innovative RL models, including graphical networks, to capture the complex relationships between plans that rely on shared aircraft resources. The objective is to develop fast, efficient solutions that can be executed in real time.

Additionally, this PhD will consider that the integration of RL into aviation must comply with the safety standards in the industry. A key focus of this PhD is to ensure the future applicability of the developed RL methods. Therefore, this PhD shall take into account the following key areas:

- Open-Source Software: As part of TUDelft's commitment to open science, the outcomes of this PhD will be shared with the broader community. This openness will help validate RL training environments and contribute to refining certification guidelines. It will ensure that benchmarks are set to properly assess the limitations of RL when applied in real-world aviation scenarios.

Who are your fellow team members? We are an interdisciplinary and internationally diverse group of some 60 driven assistant and associate professors, lecturers, project managers, PhD students and postdocs. We share the ambition to develop models and tools in which we accumulate our expertise to enable future adaptive, efficient, safe and sustainable air transport operations. Fostering an open, friendly and collaborative atmosphere in which people are approachable, we share knowledge, help each other and meet socially. And you will get all the support and training you need to evolve and grow as a researcher.

**Requirements**:
You will be working in an international environment, which means that good proficiency in the English language (spoken and written) is required.

Furthermore, the position also has the following requirements:

- You hold an MSc in aerospace, computer engineering, mathematics, or related areas.
- Due to the expiration date of the funding, you are able to start (and thus have completed your master) before or on 1st January 2025.
- Knowledge of programming in Python is a must.
- You have some knowledge about either aviation, statistics, data science methods, or machine learning.

Conditions of 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

Due to the prompt start date of the position (to prevent that the funding expires), only EU-citizens or people with a EU work permit are eligible for this position.

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***

**TUD05781**:



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