Postdoc Computational science for energy materials (X/F/M)

5 Apr 2024
Job Information

Organisation/Company

DIFFER

Research Field

Physics

Researcher Profile

Recognised Researcher (R2)

Country

Netherlands

Application Deadline

5 May 2024 - 21:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

40.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The Autonomous Energy Materials Discovery Research Group at DIFFER is looking to immediately fill a postdoctoral research position for a four-year term. The successful candidate will play a role in various computational research projects focused on materials and processes for chemical energy.

We are in search of an outstanding junior candidate for this position, who has recently completed their PhD in computational science. The ideal applicant will have a relevant record of scientific achievements and be prepared to engage in a research initiative focused on addressing scientific and technological challenges. The primary technical responsibility of the candidate will be to create and apply generative machine-learning models for the inverse design of nanomaterials used in electrochemical conversion.

This role offers the chance to work alongside a dynamic international team of researchers, contributing to sustainable energy advancements. Therefore, we value a readiness to work together with our industrial partners in turning technological innovations into commercially successful products.

Requirements
Specific Requirements

Responsibilities and tasks:

Contribute to a cutting-edge computational research program in alignment with DIFFER's strategic mission.

Use Generative AI in materials science for energy applications, which involves employing deep learning frameworks to create novel material compositions and structures.

Contribute to research proposal development activities.

Daily supervision of intern researchers and PhD candidates.

Disseminate research findings through peer-reviewed publications and conference presentations.

Required skills:

PhD in Computational Science/Engineering, Applied Physics, Chemistry, Materials Science, or a related field, preferably with a focus on AI-driven research.

Track record of high-quality research output.

Experience in developing code using Python.

Experience in using predictive and/or generative machine-learning models.

Collaborative skills and ability to work in an interdisciplinary team.

Fluency in English.

Additional Information
Benefits

This position is for 1 FTE, will be for a period of 4 years and is graded in pay scale 10. The position will be based at DIFFER (www.differ.nl ) and the working location will be at TU Eindhoven. When fulfilling a position at DIFFER, you will have an employee status at NWO. You can participate in all the employee benefits NWO offers. We have a number of regulations that support employees in finding a good work-life balance. At DIFFER we believe that a workforce diverse in gender, age and cultural background is key to performing excellent research. We therefore strongly encourage everyone to apply. More information on working at NWO can be found at the NWO website (https://www.nwo-i.nl/en/working-at-nwo-i/jobsatnwoi/ )

Additional comments

For more information concerning the position please contact Suleyman Er via [email protected] . To apply for this position, please click the button underneath:

Website for additional job details

https://www.academictransfer.com/339887/

Work Location(s)

Number of offers available

1

Company/Institute

Dutch Institute for Fundamental Energy Research

Country

Netherlands

City

Eindhoven

Postal Code

5612AJ

Street

De Zaale 20

Geofield

Where to apply

Website

https://www.academictransfer.com/en/339887/postdoc-computational-science-for-en…

Contact

City

Eindhoven

Website

http://www.differ.nl/

Street

De Zaale 20

Postal Code

5612 AJ

STATUS: EXPIRED