Job Listings

 Professorships in Energy Technologies and Energy Storage (tenure track)

The Faculty of Technology and the Materials Engineering unit at the University of Turku (Finland) has opened two tenure track positions at any track level.We seek candidates whose work is on energy technologies and energy storage in the green transition, such as batteries, battery materials, and hydrogen. The scope of the research can be from understanding fundamental mechanisms by means of computational materials science, to developing materials and devices, to energy system modelling and analysis – research methods can be experimental or computational.The research profile could be related to one or more of the following:
    • Battery materials and/or systems
    • Hydrogen storage materials and/or systems
    • Energy systems and business models, with a focus on energy storage
    • Industrial energy conversion and consumption
    • Modeling of nanomaterials and interfaces for energy storage solutions
    • Catalysts for hydrogen production or water splitting (e.g. 2D materials, …)
    • Electrochemical conversion and Solar-to-X
    • Renewable fuels and fossil free energy carriers, in particular hydrogen
    • Turbomachinery, high-temperature heat pumps
    • Gasification, biomass conversion, membrane technologiesThis is not an exhaustive list; we welcome applicants whose research complements the research lines at the Department of Mechanical and Materials Engineering and bring additional value. The University of Turku is a family-friendly Finnish institution. We are committed to creating an inclusive workplace and strongly encourage applications from women, underrepresented minorities, and other diverse groups.Apply to lead a team with transformative research into next-generation technologies! Call closes on 3 March 2025.
Application link: https://ats.talentadore.com/apply/kaksi-professoria-tai-apulaisprofessoria-tenure-track-energiateknologioiden-ja-energian-varastoinnin-alalle-materiaalitekniikkaan-konetekniikkaan-tai-/DgKAQA?lang=en

If you are excited about ML for materials science and chemistry, we might have good news for you.

We are still hiring on all levels. Simply connect by submitting your application via https://lnkd.in/exnTGRJD.

In particular, we are looking for PostDocs to support our efforts in building and testing frontier models.
We strongly encourage candidates of all different backgrounds and identities to apply. Each new hire is an opportunity for us to bring in a different perspective, and we are always eager to diversify our team further.

https://www.linkedin.com/posts/kevin-maik-jablonka_job-ad-activity-7285350099897991168-8uKg?utm_source=share&utm_medium=member_desktop

There are a few opportunities to find post-docs positions in Núria López group (https://iciq.org/research-group/prof-nuria-lopez/profile/) via a competitive calls

Senior postdocs (PhD obtained 2017-2022) https://agaur.gencat.cat/en/beques-i-ajuts/convocatories-per-temes/Ajuts-postdoctorals-Beatriu-de-Pinos-BP-2024 – Deadline Feb 04

Junior postdocs ((PhD obtained between 2023-2024)) https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contratos-juan-cierva-2024 – Deadline Jun 20

If you are interested please contact Núria López at your earliest convenience!

The Digital Chemistry Laboratory led by Prof. Dr. Kjell Jorner at the Institute of Chemical and Bioengineering, within the Department of Chemistry and Applied Biosciences at ETH Zurich and associated with the ETH AI Center, is looking for a postdoc fellow to develop and validate machine learning potentials based on reaction data, besides further supervision activities.

Applications can be sent online only until December 6, including PhD degree certificate (if already available), Cover letter, Curriculum vitae with publication list.

The Materials Informatics Laboratory has opened a Tandem Industry-Academia postdoc position in AI-driven DFT semiconductor interface engineering. Join us and make an impact by improving the performance of semiconductors grown by Comptek Solutions!

Apply before 16 September to Materials Engineering at the University of Turku using the link below:

Applications can be sent online only until December 6, including PhD degree certificate (if already available), Cover letter, Curriculum vitae with publication list.

PhD positions in computational materials science and machine-learning methods for condensed matter physics are open at the PhD School in Physics and Nanoscience at the University of Modena and Reggio Emilia, Italy. In particular:

• 3 scholarships to carry out any topic reported in this list.
• 2 scholarships with topic: “Computational Materials Science for Quantum Technologies.” Point of contact: Marco Govoni (mgovoni@unimore.it) [see here].
• 1 scholarship with topic: “Machine learning for simulation in quantum materials discovery.” Point of contact: Guido Goldoni (guido.goldoni@unimore.it) [see here]
• 1 scholarship with topic: “Quantum algorithms, including quantum machine learning, for the prediction of materials phase equilibria and molecular energies.” Point of contact: Guido Goldoni (guido.goldoni@unimore.it) [see here]

The three-year program starts in November 2024. Deadline for applications: July 26th 2024 at 1:00 p.m. CET. Short-listed candidates will be interviewed by the end of August. Online interviews are possible. Applications (CV, and research statement) need to be submitted online as described here (see the full text of the call, Sec. 13: Physics and Nanoscience). Instructions at this link. For more information, contact Prof. Marco Gibertini.

A fully funded post-doc position is available in the AI-Based Material Science group of Prof. Patrick Rinkein the Physics Department at Technical University Munich, Germany.

More information on the position and application guidelines can be found

The Materials Informatics Laboratory at the University of Turku (FI) has 2 open positions for a Postdoc and/or (paid) MSc thesis project researcher on AI-driven smart battery recycling.

Apply before 17 May 2024 at the link below:

Open position for a professor or associate professor in artificial intelligence in materials or mechanical engineering.

The position is in the Applied Materials research group of the Department of Mechanical and Industrial Engineering at the Norwegian University of Science and Technology in Trondheim, Norway.

Two open positions in Prof. Markus Stricker‘s group related to larger Collaborative Research Center CRC1625 “Atomic-scale understanding and design of multifunctional compositionally complex solid solutions surfaces“:

• Doctoral researcher position related to “Data-guided experimentation and machine learning”
• Postdoctoral positions about “FAIR collection, curation, and management of multidimensional research data”

Both positions are fully funded for 3 years and 9 months. Information about the CRC can be found on the website in-the-making here.