PhD on AI-Assisted Surrogate Modeling for Complex Systems
- Eindhoven, Noord-Brabant
- € 2.770-3.539 per maand
- Tijdelijk
- Voltijds
- Developing generative methods to contextualize surrogate models.
- Applying symbolic reasoning to define and analyze system components and their interactions.
- Merging machine learning with symbolic AI to enhance system (performance) monitoring.
- Advancing adaptive surrogate modeling to maintain alignment with actual system changes.
- Conduct high-impact scientific research on AI-Assisted Surrogate Modeling, ensuring practical validation of your findings in the SmartEM project.
- Contribute to publishing results at (international) conferences and journals.
- Collaborate with the other PhDs and researchers in this project.
- Collaborate with other groups and faculty members.
- Collaborate with selected SmartEM project partners, attend project meetings and contribute to deliverables and project outcome.
- Assist with educational tasks (e.g. support lab/course assignments and/or supervise (under)graduate/internships students).
- A master's degree in Computer Science, Data Science, or a related field.
- A strong background in machine learning (specifically deep learning) and/or symbolic reasoning.
- Good programming skills and experience (Python, C, etc).
- Strong analytical and implementation skills.
- Good communicative skills and eagerness to work as part of a research team.
- Motivated to develop your teaching skills and coach students.
- Fluent in spoken and written English.
- Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
- Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
- A year-end bonus of 8.3% and annual vacation pay of 8%.
- High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own
- An allowance for commuting, working from home and internet costs.
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Please contact the hiring manager Tanir Ozcelebi, Associate Professor, or +31 40 247 4426.Visit our website for more information about the or the You can also contact HR Services, .Are you inspired and would like to know more about working at TU/e? Please visit .ApplicationWe invite you to submit a complete application by using the apply button.
Your application must include:
- Cover letter describing your motivation and qualifications for the specific position you are applying to.
- Detailed CV including your publication list.
- MSc and BSc transcripts
- 2 recent recommendation letters
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