Career Opportunities

We offer:

• a creative, world-class interdisciplinary research environment for fundamental and applied nanoscience
• state-of-the-art infrastructure for the fabrication and characterization of nanostructures
• a strong international nanoscience network
• a highly regarded scientific education
• internships in nanotechnology industry
• intellectual property training
• family-friendly living conditions and a high degree of social security
• a competitive salary and full employment contracts for doctoral students and postdocs

Current vacancies in NanoLund research groups

All positions are regularly posted in the Lund University recruitment system. 

Selected vacancy announcements within NanoLund are listed below. To apply for a position, click the Login and Apply button in the vacancy announcement, and you will be guided to the recruitment system.

Doctoral student in AI based design of twisted hybrid nanowires

The position is based in the Saragovi group at CMPS, Kemicentrum, Lund University. The group's research focuses on the design of proteins that can template and direct the formation of protein–mineral hybrid materials for next-generation sustainable (opto)electronic technologies. The group is currently composed of several master's-level research assistants and is in the process of recruiting multiple PhD students and postdoctoral researchers. This is an exciting opportunity to join the laboratory at an early stage and contribute to shaping its scientific direction, culture, and future growth. Team members work closely together across computational and experimental disciplines, providing opportunities to develop a broad range of expertise while working on ambitious interdisciplinary research projects. For more information: https://saragovi.science/

The doctoral project focuses on the computational and experimental design of proteins that self-assemble into architectures containing precisely defined geometric voids capable of directing mineral growth. These protein assemblies will serve as programmable templates for the formation of protein–mineral hybrid materials with applications in next-generation sustainable (opto)electronic technologies. The project combines computational protein design with experimental validation. On the computational side, the doctoral student will apply and further develop state-of-the-art deep learning and reinforcement learning approaches for protein design. On the experimental side, the work includes application of high-throughput biochemical and biophysical assays to exprerss, validate and functionally evaluate the designed proteins and the resulting hybrid materials.

You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. The duties may also include participation in teaching and other departmental work (however, a maximum of 20% of working hours). To be eligible for admission and employment as a doctoral student, you must fulfil the requirements described in the full vacancy, linked below.

Supervisor: Amijai Saragovi 

Read the full vacancy and apply online before 1 September 2026

Would you like to have your vacancy posted here? Please send an e-mail to info [at] nano [dot] lu [dot] se (info[at]nano[dot]lu[dot]se)