Postdoctoral researcher, computational nanoscience

Our naturally beautiful campus in the Jyväskylä city centre is home to a dynamic multidisciplinary research university – a modern, open and collaborative community of 2,500 experts and 15,000 students seeking answers to the pivotal questions of today and tomorrow. It was here, in 1863, that Finnish-language teacher education began. Since then, the University of Jyväskylä has been serving the future. The dialogue between research, education and society is our driving force. We cherish this balance of research and education, and work to promote open thinking. We kindle the skills, knowledge and passion to live wisely for the best of humanity. 

Postdoctoral researcher, computational nanoscience, for a fixed period of 1.8.2018 - 31.12.2020.  

The Department of Physics is an internationally recognized research and teaching unit. The main research areas in the Department are particle physics, material physics, and nuclear and accelerator-based physics. The research in particle physics is carried out in cosmology, neutrino physics, physics of ultra-relativistic heavy ion collisions, and Beyond the Standard Model physics. In condensed matter physics experimental research of nanophysics and nanoelectronics (especially low temperature physics in nano- and microstructures as well as molecular electronics) with their applications are carried out as well as research of porous and disordered materials and crystal defects. Themes of theoretical and computational material physics are atomic clusters, metal nanoparticles, quantum dots, nanowires, catalytic surfaces and other nanoscale structures, soft matter and statistical physics by using many-body theory and numerical modeling. In nuclear and accelerator based physics in the Accelerator Laboratory the research focuses on studies of atomic nuclei and nuclear matter under extreme conditions, with many links to material physics and applied research. Furthermore the Department is contributing to the ALICE and ISOLDE experiments in CERN as well as Facility for Antiproton and Ion Research in GSI and FAIR Laboratories. The focus of the research in theoretical nuclear physics is on nuclear models and their applications.

The hired postdoctoral researcher will work in an interdisciplinary consortium project between computational physicists and computer scientists at the Nanoscience Center and in the Faculty of Information Technology of University of Jyväskylä, Finland. The research project is part of the research programme AIPSE, funded by the Academy of Finland for 2018 – 2021 ( ). The project aims at new breakthroughs in the area of computational research of nanomaterials, specifically developing new open source algorithms and software based on artificial intelligence (AI), for reliable structural predictions of ambiently stable hybrid metal nanoparticles in the size range up to a few nanometers in diameter and analyzing correlations in the existing experimental and computational nanoparticles' structure-property data. Hybrid metal nanoparticles, consisting of up to a few hundred metal atoms and more than one hundred organic capping molecules, are expected to have applications in biolabeling, catalysis, medicine, and solar energy. By the help of new AI-based software developed in this project, which will combine intelligent memetic algorithms using local and global search with multi-objective optimization procedures, incomplete experimental structural information on nanoparticles can be effectively utilized for computational structural models whose validity and merits will be evaluated against‚Ä®complementary experimental information of nanoparticles' measured properties. The improved understanding of nanoparticles' structure-property relationships and of the initial structures that dominate their nucleation mechanisms in solution helps to design more stable, functional nanoparticles for various applications. The generated new software can be used in other areas of nanomaterials research (such as conducting nanowires, catalytically active metal nanoparticles, new metal-organic framework materials) for improved structure prediction and structure-property research. The consortium has a broad and strong network of international collaborations in the communities of nanoparticle research and computer science, offering the hired researcher ample opportunities to develop his/her knowledge in these areas. 

The duties and qualification requirements for the position of the postdoctoral researcher are stipulated by the University of Jyväskylä Regulations. According to Finnish law, a non-native university teaching and research staff member can be granted an exemption from the requirement of Finnish language proficiency. The postdoctoral researcher is expected to have good skills in English language.

A successful candidate for this position should have a PhD degree in physics or physical chemistry with specialty in computational condensed matter physics, materials science or quantum chemistry. Good programming skills and knowledge of machine learning methods are regarded as advantage. 

The job-specific salary component of a postdoctoral researcher is based on the job demands level 5-6 (2893,95 €/Month - 3374,18 €/Month) according to the salary system concerning teaching and research staff at universities. In addition, a personal performance-based salary component amounting to the maximum of 46,3% of the job-specific salary component is also paid.

A trial period of six months will be used when the position is first filled.

For further information: Academy Professor Hannu Häkkinen, +358 400 247 973, ; group website 

Please attach the following documents to the online application form:

1. Curriculum vitae (CV), composed according to good scientific practice and considering, when possible, the template for a researcher’s curriculum vitae by the Finnish Advisory Board on Research Integrity. See

2. Short application / motivation letter, including research interests.

3. Two (2) letters of recommendation. 

Please submit your application at the latest by 30.4.2018 using the online application form.