Академическая Работа
в Нидерландах

PhD position on physics-informed machine learning for smart materials, Eindhoven University of Technology (TU/e)

Eindhoven University of Technology (TU/e)
PhD position on physics-informed machine learning for smart materials

Зарплата 2434 - 3111 евро/мес.
Контракт 4 года.
Город Эйндховен, Нидерланды.
Место работы Eindhoven University of Technology (TU/e)
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Требования:

Highly talented and enthusiastic candidates with excellent analytical skills and excellent grades are encouraged to apply. An MSc degree in Mathematics, Applied Mathematics, Computer Science, Mechanical Engineering, Physics, Materials Science, or a related discipline is required, as well as a strong background in computational methods. In particular, students with a specialization in machine learning, neural networks, micro-mechanics & multi-scale modelling, and finite element techniques are encouraged to apply. The ideal candidate has excellent scientific skills with a reserach-oriented attitude, outstanding verbal and written communication skills, and is fluent in spoken and written English.

Условия работы:
  • A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
  • A full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months.
  • To develop your teaching skills, you will spend 10% of your employment on teaching tasks.
  • To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students (PROOF program).
  • A gross monthly salary and benefits (such as a pension scheme, pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labor Agreement for Dutch Universities.
  • Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
  • Should you come from abroad and comply with certain conditions, you can make use of the so-called '30% facility', which permits you not to pay tax on 30% of your salary.
  • A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
  • Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.
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