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Career Opportunities

Kick-start your career in interdisciplinary nanoscience and nanotechnology

A key-success factor for NanoLund is our wide sharing of equipment that allows everyone – from doctoral students to new faculty – to access an incredibly wide range of capabilities within characterization, fabrication and modelling, from the day they start working with us.
NanoLund always welcomes applications from outstanding candidates for masters projects, doctoral studies or postdoctoral work.
Welcome with your application!

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. 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 Inorganic Chemistry with focus on synthesis of novel earth-abundant semiconductors

Semiconductor nanostructures have a wide range of potential uses in energy applications such as solar energy (photovoltaics) and solar hydrogen production (photocatalysis).  To meet the rising challenges in sustainable production of materials for these applications, novel earth-abundant materials must be explored. For this reason, we aim to develop synthesis of semiconductors based on earth-abundant elements with potential for circular and low-cost production. The research in this PhD project will involve controlled crystal growth using vapor deposition (CVD), and structural characterization methods such as transmission electron microscopy (TEM).

The project will be carried out at the Centre for Analysis and Synthesis (, in collaboration with the Division of Solid State Physics ( The PhD candidate will work within a team developing novel nanostructures and will be responsible for planning and conducting their own experiments, as well as analyzing and interpreting the data.

Supervisor: Kimberly Dick Thelander, Professor of Materials Science

Application deadline: 31st May 2022

Read the complete vacancy and apply

Post-doctoral fellow in nanophotonic neuromorphic computing

This position will be linked to a major new project financed by the European Innovation Council: Insect-Brain inspired Neuromorphic Nanophotonics (InsectNeuroNano). The long-term vision of this project is a novel on-chip hybrid nanostructure platform for energy-efficient, fast artificial neural networks and integrated sensor arrays.The work comprises the design, modelling, realization, and characterization of nanophotonic neuromorphic devices based on group III-V nanowires and other nanostructures. Modelling is expected to be an essential part during both the design and the analysis phases. Experimental work on fabrication and characterization of device is expected. This concerns work using nanostructures developed for solar-energy harvesting, light emitters and transistors that will now be used for building neural networks using light broadcasting for interconnects and electrical signal interpretation for memory and signal analysis. It will also include the design of nanophotonic elements to tailor light absorption and emission. The work will be done in collaboration experts within nanoscale photonics/electronics, advanced lasers, nanoscale synthesis and characterization.

Supervisor: Anders Mikkelsen, Professor Synchrotron Radiation Research  and Director of NanoLund

Application deadline: 3rd June 2022

Read the complete vacancy and apply

Post-doctoral fellow in 4D X-ray imaging with machine learning

The project is computational. In particular, the candidate will work on the development of novel deep-learning reconstruction algorithms to retrieve 3D movies acquired using XMPI. This development implies merging state-of-the-art deep-learning approaches with physical knowledge of the studied processes and X-ray imaging formation.

The developed algorithms will be tested and commissioned in different synchrotron radiation facilities: MAX IV (Sweden), ESRF (France), SLS (Switzerland), PETRA III (Germany), and possibly other international synchrotron facilities. In parallel, it will also be commissioned at the European XFEL in Germany.

Supervisor: Pablo Villanueva Perez, Associate Senior Lecturer at Synchrotron Radiation Research

Application deadline: 16th June 2022

Read the complete vacancy and apply

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