Post-doc Machine Learning and Modelling of

5 maanden geleden

Groningen, Nederland Rijksuniversiteit Groningen Voltijd

The University of Groningen is a research university with a global outlook, deeply rooted in Groningen, City of Talent. Quality has been our top priority for over four hundred years, and with success: the University is currently in or around the top 100 on several influential ranking lists.
The Faculty of Science and Engineering (FSE) is the largest faculty within the University. We offer first-rate education and research in a wide range of science and engineering disciplines, from classical disciplines such as mathematics, astronomy and mechanical engineering, to interdisciplinary fields such as artificial intelligence, pharmacy and nanoscience. Our community has an open and informal character with students and staff from around the world.

Applicants should have a PhD in physics, materials science, electrical engineering, or a related field. A deep understanding of device physics, numerical modeling, and computer programming is required. Experience in machine learning and data analysis is highly desirable but not essential.

The postdoc will be based at the Zernike Institute for Advanced Materials, one of the leading institutes in the field of materials science, and will be supervised by Prof. Jan Anton Koster, an expert in the field of photovoltaics.

**Qualifications**:

- university PhD degree in Physics, Material Science, or related disciplines
- fluency in spoken and written English.

You are expected to:

- hold a PhD degree (or will graduate before appointment date) in physics or a similar, related field
- have demonstrable experience in numerical modelling
- have demonstrable experience in machine learning
- show ability to collaborate in an interdisciplinary environment
- have strong communication skills and are motivated to disseminate results to both scientific peers and a broad audience
- be proficient in the English language (oral and written) e.g. with a minimum IELTS score of 7.0 overall and 6.5 on parts
- technical skills: A PhD degree in physics, material science or engineering (or equivalent) is required. A demonstrable background in computer programming, machine learning and/or numerical simulation is essential.

**Organisation**:
**Conditions of employment**:
We offer you in accordance with the Collective Labour Agreement for Dutch Universities:

- a salary from a minimum of € 3,226 gross per month up to a maximum of € 5,090 gross per month (salary scale 10) based on a full-time position and dependent on qualifications and work experience.
- excellent secondary terms of employment
- a holiday allowance of 8% gross annual income and an 8.3% end-of-year bonus
- participation in a pension scheme for employees
- a fulltime position (1.0 FTE) with a duration of 1 year.

The start date is flexible.

**Application**:

- introduce yourself
- describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
- describe your future goals and future research focus
- copies of master’s and PhD thesis.
- list of publications, conference talks.
- attested copies and transcripts of completed education, grades and other certificates, eg. TOEFL test results.

2. Curriculum vitae (Please name the document: CV, Family name, Ref. number)

3. Copy of the latest degree/qualification

4. Two letters of recommendation.

Please note that the data that you provide will be used exclusively for the purpose of professional profiles’ evaluation and selection, and in order to meet the requirements of the University of Groningen.

Your data will be processed by the University of Groningen, based in Groningen, Broerstraat 5, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.

We provide career services for partners of new faculty members moving to Groningen.

Unsolicited marketing is not appreciated.

**Information**:
For information you can contact:

- Prof. L.J.A. Koster, l.j.a.koster rug.nl

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