Postdoc position in Computational Large-scale Characterization of Spin Crossover Molecular Switches. Towards an Atlas for Materials Discovery

Updated: 2 months ago
Job Type: FullTime
Deadline: 06 Mar 2024

21 Feb 2024
Job Information
Organisation/Company

Universitat de Barcelona
Department

Organisation profile
Research Field

Chemistry
Researcher Profile

Recognised Researcher (R2)
Country

Spain
Application Deadline

6 Mar 2024 - 23:59 (Europe/Madrid)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

37,5
Offer Starting Date

1 Apr 2024
Is the job funded through the EU Research Framework Programme?

European Union / Next Generation EU
Reference Number

CEX2021-001202-M
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Develop and train machine learning models based on neural networks, able to learn available data.

Contribute to the accessibility of the machine learning model(s) developed.

Develop papers aiming at publication.

Dissemination of research activities to scientific audiences.

Conduct literature and database searches.

Assist the principal investigator to conduct sound research.


Requirements
Research Field
Chemistry
Education Level
PhD or equivalent

Skills/Qualifications

Degree in Chemistry

Master in the programme of “Modelització Computacional Atomística i Multiescala en Física, Química i Bioquímica” from the University of Barcelona


Specific Requirements

Experience in Python and Machine Learning

Experience in the simulation of physicochemical properties of molecular materials, particularly in molecular magnetism

Scientific publications in the field of computational chemistry

Experience in the construction of Neural Networks will be positively regarded, as well as in the development of tools related to Machine Learning


Languages
ENGLISH
Level
Excellent

Research Field
ChemistryComputer science

Internal Application form(s) needed
Model sol IP Sergi Vela.pdf
English
(162.78 KB - PDF)
Download
Additional Information
Eligibility criteria

CV (60%)

Motivation Letter (10%)

Experience in the field (30%)


Selection process

Evaluation of CV


Additional comments

Priority will be given to people with disabilities (Law 89/2015 of June 2, reserve of quota 2% in favour of people with disabilities in companies of 50 or more people).


Work Location(s)
Number of offers available
1
Company/Institute
FACULTY CHEMISTRY. DEPARTMENT OF MATERIALS SCIENCE AND PHYSICAL CHEMISTRY
Country
Spain
State/Province
Barcelona
City
Barcelona
Postal Code
08028
Street
C/Martí i Franquès 1-11
Geofield


Where to apply
Website

https://seu.ub.edu/ofertaPublicaCategoriaPublic/listPublicacionsAmbCategoria?ca…

Contact
City

Barcelona
Website

https://www.ub.edu
Street

Gran Via de les Corts Catalanes, 585
Postal Code

08007

STATUS: EXPIRED

Similar Positions