The NOMAD CoE develops a Materials Encyclopedia and Big-Data Analytics tools for materials science and engineering. Eight complementary research groups of highest scientific standing in computational materials science along with four high-performance computer centers form the synergetic core of this CoE.
Interested candidates are invited to contact the PI they are interested to work with.
The Center for Atomic-scale Materials Design (CAMD) at the Technical University of Denmark has several open postdoc positions. Candidates must have a strong background in computational materials science and scientific programming. Previous experience with atomic-scale quantum mechanical simulation software as well as code development is desirable. The position will be primarily at the Technical University of Denmark (DTU) which is located in the town of Lyngby north of Copenhagen. Extended visits at the other groups of the CoE are possible. The project will benefit from our local Linux supercomputer which is ideally suited for large-scale computational materials design.
The research will involve the development and usage of new software to support electronic structure calculations and data management with applications to computational design of energy materials. For more information about our activities please visit our web site,http:www.fysik.dtu.dk/english/Research/camd/.
Interested candidates should apply online at DTU’s homepage.
The Solid-state Theory Group of the Humboldt-Universität Berlin offers positions related to the development of the Materials Encyclopedia. Postdoc candidates should have an outstanding track record and a strong background in computer science. Knowledge in computational materials science and scientific programming is desirable. We also encourage exceptional PhD students to apply.
The position will be primarily at the HU Berlin (http://sol.physik.hu-berlin.de/). There will be intensive interaction with all scientific partners and high-performance computer centers involved.
Interested candidates should send their full application material to email@example.com
The Department of Applied Physics at Aalto University has an open post-doctoral position. Candidates should have an outstanding track record in electronic-structure theory, computational science, machine learning or big-data science. The work will be conducted in the Centre of Excellence in Computational Nanoscience (COMP, http://comp.aalto.fi/) in close collaboration with the Centre of Excellence in Computational Inference Research (COIN) and the Finnish Supercomputing Center (CSC).
The Max Planck Institute for the Structure and Dynamics of Matter in Hamburg has several open positions for PhD students and postdocs. We are looking for highly qualified candidates from Physics, Chemistry, and Materials Science both at student and postdoctoral level. A strong background and outstanding track record in either theoretical condensed matter physics, chemistry, applied mathematics and computational science is desirable. Previous experience using quantum mechanical methods and atomistic simulations and proficiency in scientific programming are essential. The ideal candidate is a team player and feels comfortable working in an international and multidisciplinary environment in an independent manner.
The work will be conducted in the MPSD in Hamburg in close collaboration with the NanoBio Spectroscopy Group and the ETSF Scientific Development Centre in Spain and the other groups of the NoMad CoE. Information about the group activities is provided at http://www.mpsd.mpg.de/113438/theod . The NoMad CoE groups benefit from outstanding computational facilities.
Interested candidates should send their full application material to Andrea Freund Andrea.Freund@mpsd.mpg.de and to firstname.lastname@example.org. Applications should include a letter of motivation, a curriculum vitae, a list of publications, a summary of past accomplishments, and the full contact details of 2 referees (or letters of recommendation).
he Fritz Haber Institute of the Max Planck Society in Berlin has several open positions for PhD students and postdocs. Candidates must have an outstanding track record in condensed-matter theory and computational materials science or in applied mathematics with focus on compressed sensing or statistical learning. The position will be primarily in Berlin but extended visits at other groups of the CoE are possible, as are visits at our collaboration groups at Duke University, the University of California Santa Barbara, or the University of California Berkeley.
Please visit our web site, http://th.fhi-berlin.mpg.de/, in particular the groups Unifying Concepts in Catalysis (lead by Sergey Levchenko), Ab InitioStatistical Mechanics of Cluster Catalysis and Corrosion (lead by Luca M. Ghiringhelli), Heat and Charge Transport (lead by Matthias Scheffler), Machine Learning for Materials (lead by Matthias Rupp).
Interested candidates should send their full application material to Hanna Krauter <email@example.com>.
King’s College London is expected to have two open postdoc positions. PhD applications to KCL Physics Department are also sought.
Candidates must have an outstanding track record in computational materials science or applied mathematics. Significant experience in working with industry will be also greatly valued in the applications. The positions will be based in London, while frequent visits to other groups of the CoE are envisaged. The work will generally involve data conversion, selection and compression e.g., to develop protocols for structure and property prediction via machine learning algorithms. A significant work effort is also envisaged towards the dissemination of results and the promotion of the wider industrial outreach of the CoE.
Please contact Ms Julia Kilpatrick (Julia .firstname.lastname@example.org) or Prof. Alessandro De Vita (email@example.com) for further information.
EUROPEAN CENTER OF EXCELLENCE (CoE) FOR
NOVEL MATERIALS DISCOVERY (NOMAD)
Funded by the EU Commission under the Horizon2020 programs