Postdoctoral position in machine learning for the development of novel semiconductor materials

About the position

Postdoctoral position in machine learning for the development of novel semiconductor materials

Is the job funded through the EU Research Framework Programme?: Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?: No

The position is placed at the Division of Solid State Physics at the Department of Physics, a division with around 100 employees where extensive research is carried out centered on various aspects of nanophysics, ranging from materials science to bio- and quantum physics to various applications.

The division hosts the research group of Prof Vanya Darakchieva whose research over the past twenty years on the fabrication and advanced characterization of large bandgap semiconductors has been at the international forefront.

The purpose of this project is to develop a data-driven approach for optimizing the growth of semiconductor materials by combining machine learning with a physics-based understanding of the growth process.

The position is part of a large initiative funded by KAW to develop a comprehensive platform that will enable, for the first time, deterministic control of atomic configurations in UWBG materials.

The research work will be conducted in close collaboration with PhD-students and researchers working with power electronic devices within the competence center for III-Nitride technology C3NiT and within a European network within the WBG Pilot Line, but also with experienced researchers within materials growth and materials characterization, at the departments of solid state physics and synchrotron radiation physics.

The main duties involved in a post-doctoral position is to conduct research.

The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development.

Qualification requirements

This is a career development position primarily focused on research.

The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and potential as researchers.

Consideration will also be given to how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

You will be included in a team of researchers at NanoLund, a highly visible nanoscience center that offers excellent career development, an open and inclusive research environment with an active community of PhD students and postdocs, and access to a wide range of state-of-the-art capabilities within characterization, nanofabrication and modelling.

https://lu.varbi.com/en/what:job/jobID:967223/type:job/where:39/apply:1

Years of Research Experience: 1 - 4

What you’ll bring

• Qualification requirements
• The certificate proving the qualification requirement is met, must be received before the employment decision is made.
• Experience in modelling of multiphase systems (e.g. liquid/solid, gas/liquid, liquid/liquid, or gas/solid)
• Experience in application of machine learning approaches.
• Experience in scientific computing for experimental data analysis
• The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and potential as researchers.
• Other qualifications:
• Proven experience in writing scientific papers.
• The application should include a CV and a personal letter justifying your interest in the position and how it matches your qualifications.
• Research Field: Physics
• Education Level: PhD or equivalent
• Years of Research Experience: 1 - 4

At a glance

Position type

Postdoc

Institution

Lunds universitet

Department

Lund University

Research group

Not stated

Location

Lund, Sweden, SE

Supervisor / contact person

Prof Vanya Darakchieva

Funding

Funding not stated
Is the job funded through the EU Research Framework Programme?: Not funded by a EU programme
The position is part of a large initiative funded by KAW to develop a comprehensive platform that will enable, for the first time, deterministic control of atomic configurations in UWBG materials.

Duration

Not stated

Expected start

Not stated

Vacancy reference

EURAXESS-465811

Research focus

Discipline

Materials Science, Electronics, Physics, Computational Science

Research area

Semiconductors

Methods

Synthesis, Spectroscopy

Software

Not stated

Dates to know

Listed on FOSS Positions

18 Sep 2026

Original advertisement date

Not stated in the source

Application deadline

28 Sep 2026 · 21:59 UTC

Priority review date

Not stated

Last checked

18 Sep 2026

Last updated

18 Sep 2026

2026-09-28T21:59:59+00:00

How to apply

Application Deadline: 28 Sep 2026 - 21:59 (UTC)
Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position. The certificate proving the qualification requirement is met, must be received before the employment decision is made. Priority will be given to candidates who have graduated no more than three years ago before the last day for application. Under special circumstances, the doctoral degree can have been completed earlier.
Experience in application of machine learning approaches.
How to apply
Applications are to be submitted via the University’s recruitment system. The application should include a CV and a personal letter justifying your interest in the position and how it matches your qualifications. The application should also include a degree certificate or equivalent and any other document to which you would like to draw attention (copies of grade transcripts, details of referees, letters of recommendation, etc.)”
We welcome your application!
Where to apply
https://lu.varbi.com/en/what:job/jobID:967223/type:job/where:39/apply:1
Apply now

https://lu.varbi.com/en/what:job/jobID:967223/type:job/where:39/apply:1

Original sources

https://euraxess.ec.europa.eu/jobs/465811 ↗

https://lu.varbi.com/en/what:job/jobID:967223/type:job/where:39/apply:1 ↗