22/05/2019
Marie Skłodowska-Curie Actions

Computational Machine Learning Applied to Catalysis | MSCA-IF-2019

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  • ORGANISATION NAME
    CompuCatOslo
  • ORGANISATION COUNTRY
    Norway
  • FUNDING TYPE
    Funding
  • DEADLINE DATE
    16/06/2019
  • RESEARCH FIELD
    Natural sciences
  • CAREER STAGE
    Recognised Researcher (R2) (PhD holders or equivalent who are not yet fully independent)
    Established Researcher (R3) (Researchers who have developed a level of independence)

Outline

We are loooking for strong MSCA-IF-2019 candidates able to develop new protocols for catalyst discovery within large chemical spaces. The protocols should be based on a combination of computational chemistry and machine learning methods. The project will be supervised by PI Dr. David Balcells at the Hylleraas Centre of Excellence for Quantum Molecular Sciences at the University of Oslo (Norway). The research will involve collaborations within a multidisciplinary team including experts in computational chemistry (Prof. Eisenstein), machine learning (Prof. Aspuru-Guzik), statistics (Prof. De Bin) and catalysis (Profs. Tilley and Hazari). The applicant will play a major role in submitting a competitive application to the MSCA-IF-2019 program, with the support of the PI.

What is funded

Salary at the postdoctoral level, with bonuses for a secondment abroad and family costs (if relevant).

Duration

2 years

Eligibility

Candidates are responsible to check if they comply with the general elegibility criteria set for the MSCA-IF-2019 call. We are specifically looking for applicants with a PhD who have a strong background in either computational chemistry or machine learning.

How to Apply

Send your CV, motivation letter and references to david.balcells@kjemi.uio.no

About us

We are part of the Hylleraas Centre for Quantum Molecular Sciences. This is a Centre of Excellence funded by the Norwegian Research Council. The mission of the Centre is to develop and apply computational methods to study the chemistry, physics and biology of molecules in complex and extreme environments. The Center has a strong focus on resolving systems both in space and time, and understanding matter-field interactions.

Disclaimer:

The responsibility for the funding offers published on this website, including the funding description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.