Performance prediction of open cathode fuel cells in UAS flying under variable weather conditions

• A competitive remuneration package in line with the industry standards of Belgium, a country with a high quality of life and an excellent health system.
• A young and dynamic work environment where human contacts and professionalism are very important
• You will work in the historical city of Bruges, in the heart of Europe. Bruges is at 1h from Brussels by train, with a direct link to the international airport "Brussels National".
• Become part of a top-ranking university within a multi-disciplinary team made of knowledge institutes and industry.
• The opportunity to pursue a PhD degree in Engineering Technology, a trajectory that typically takes 4 years, in a young and dynamic research team. You will be given a 1-year contract. Financing for the subsequent 3 years must be obtained through successfully participating in competitive funding.

Other working conditions can be found at https://www.kuleuven.be/personeel/jobsite/en/phd/phd-information

You are a dynamic and passionate problem-solver. You can work independently but also in a multidisciplinary team consisting of knowledge institutes and industry.

The candidate:

• Holds a master’s degree in Engineering Sciences or Engineering Technology, preferably in Aeronautics or Electromechanics.
• Has adequate communication skills and can present the obtained results competently and comprehensively in research team meetings, conferences, and peer-reviewed journals.  Preferably, you have given presentations at conferences or published articles in high-impact journals.
• Is flexible and has good time management skills.
• Can work autonomously and maintains good interactions with the co/supervisors.
• Has the necessary skills to successfully study aircraft design and performance, electrochemistry, fluid mechanics and data communication.
• Helps in the organisation of workshops and other events.
• Frequently reports the progress of the conducted research to the co/supervisors.
• Is willing to engage in teaching assignments.
• Wants to travel within Belgium or abroad to assist in meetings, execute tests or conduct measurements if such appears necessary.

Advantages strengthening the candidate’s profile, but not explicitly required:

• Knowledge of machine learning, Python or MATLAB programming.
• Having published as (co-)author in a peer-reviewed journal.
• Earlier expertise gained as an academic research assistant or as a research engineer in industry.

For more information please contact Prof. dr. Frank Buysschaert, tel.: +32 50 66 49 61, mail: frank.buysschaert@kuleuven.be or Prof. dr. ir. Hans Hallez, tel.: +32 50 66 48 38, mail: hans.hallez@kuleuven.be.
You can apply for this job no later than 14/06/2024 via the online application tool