Phd Data Science for Digital Twin Simulation Models
2 maanden geleden
**Job description**:
We are seeking a highly motivated research assistant to develop innovative techniques for data processing and simulation modeling, culminating in a PhD. In this role, you will:
- Innovate and Develop: Create novel techniques for data processing and simulation models.
- Engage with the Research Community: Collaborate with university colleagues and the international research community, discussing your findings and insights on the (inter)national stage.
- Present Your Work: Report your developments at prestigious international conferences, in leading journals, and at industry events.
- Achieve Academic Excellence: Contribute to the field through your research and ultimately write a PhD thesis.
This position offers a unique opportunity to work on impactful projects, develop your skills, and contribute to advancements in supply chain processes. If you are driven by innovation and eager to make a difference, we encourage you to apply.
**Job requirements**:
- You have a Master’s degree in Industrial Engineering, Data Science, Artificial Intelligence, Computer Science, or a similar field of study.
- You have a good background in programming.
- You can work on a challenging topic that has both fundamental and applied research aspects.
- You have a strong affinity with interdisciplinary research and enjoy collaborating with others, including industrial partners.
- Your communication skills are excellent as is your proficiency in English and your ability to collaborate in an international setting.
The preferred starting date is January 1, 2025, but a later or earlier start date can be negotiated.
**Conditions of employment**:
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting, and within an international network. You will work on a beautiful, green campus within walking distance of the central train station of Eindhoven. In addition, we offer you:
- 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. €2,872 max. €3,670).
- 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 learning process.
- An excellent technical infrastructure, on-campus children’s day care and sports facilities.
- An allowance for commuting, working from home and internet costs.
**About us**
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. We are a research university of international standing and strong engineering focus, where excellent research and excellent education go hand in hand. TU Eindhoven takes a balanced approach towards education, research and valorization of knowledge in the areas of engineering science and technology. TU Eindhoven is thereby known for its very close and strong connections with key industrial partners in the Eindhoven region, Brainport, which serves as a digital innovation hub. This project will be based in both the Information Systems (IS) and Operations Planning Accounting and Control (OPAC) groups of the department of Industrial Engineering and Innovation Sciences (IE&IS).
**Information**
Are you inspired and would like to know more about working at TU/e? Please visit working at TU/e.
**Application**
- Cover letter (max. two pages) in which you describe your motivation and qualifications for the position;
- Curriculum vitae, including an elaboration of your experience in quantitative methodologies (e.g., survey design, applied econometrics, network analysis);
- Contact information of up to two references;
- Brief description of your MSc thesis (topic, method, contribution) and other related research projects that you conducted;
- List of Master's and Bachelor’s courses, including grades;
- Results of a recent English language test or other evidence of your English language capabilities (TOEFL, IELTS, etc.).
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