Key Responsibilities

Development of advanced artificial intelligence (statistical, machine and deep learning) models to that can extract the chemical, physical, and biological properties and functions embedded in a massive data set of complex molecular structures.
Development of the infrastructure and workflow for data collection (numerical data, text, images from the physical-chemical characterization, etc.)
Development of complementary multiscale molecular simulation models for the physico-chemical interpretability
Timely implementation of the work plan and reporting
Requirements

BSc or BEng in Data Science, Physics, Software/Telecomm Eng, Chemistry or a related field. MSc, MEng or in related fields will be also positively evaluated.
Excellent communication and interpersonal skills, with the ability to effectively collaborate within a multidisciplinary team

We will value

Organized person, proactive, and with good predisposition to teamwork
Strong organizational, communication, and coordination skills
Ability to adapt to a flexible and changing R&D environment
Ability to work independently
Advanced level of English

Conditions

Permanent contract associated with the Momentum Project for a duration of 4 years
41098,95 € annual gross salary according to the salary tables of CSIC
You will benefit from an extensive training plan that includes a Master in Data Science, specialized courses in Artificial Intelligence, a research stay at European research institutions and further training courses in the required technical and soft skills, as well as the participation in several conferences, among others.
Start of contract: before December 31, 2024

Workplace

You will carry out your work at the Institute for Materials Science of Barcelona of CSIC (ICMAB-CSIC, www.icmab.es) located at the campus of the Universitat Autònoma de Barcelona (UAB), in the group for Nanostructured Molecular Materials for Biomedicine (https://nanomol-bio.icmab.es/), and in close collaboration with the Photonics Engineering Group at the University of Cantabria (PEG-UC) through research and formative stays.

NANOMOL-BIO group has renown expertise in the design, production and characterization of molecular and polymeric materials for biomedical applications. We continuously generate new knowledge in our basic and applied research projects on the micro and nanostructure of molecular materials, and apply this knowledge to develop materials with advanced therapeutic and diagnostic functionality, using sustainable and economically efficient production technologies. As part of the NANOMOL department (https://icmab.es/mnom) of ICMAB, we belong to the Biomedical Research Network (CIBER) in the area of Bioengineering, Biomaterials, and Nanomedicine (CIBER-BNN), and are awarded with the TECNIO seal given to Catalan research groups with high innovative and technology transfer capabilities.

PEG-UC has experience in the field of Telecommunications Engineering developing software interfaces for access to remote data repositories providing computational services and solutions for data integration and management and for the development of automated data processing and diagnosis based on statistical and artificial intelligence (machine and deep learning) models. Our experience on diagnosis and interpretation of optical imaging technologies (Hyperspectral Imaging, OCT, Polarimetric, SFDI, etc.) will be transferred to the development of automated data processing that will contribute to discover unknown relationships between input nanotechnology formulation and their impact both on their physico-chemical and functional properties. PEG-UC is a member of the Biomedical Research Network (CIBER) in the area of Bioengineering, Biomaterials, and Nanomedicine (CIBER-BNN) and of the Valdecilla Health Research Institute (IDIVAL). Our facilities are located on the campus of the University of Cantabria (Santander, Spain).

How to apply

Send the following application documents to nanomol_info@icmab.es:

Curriculum (CV)
Motivation letter
Statement of the applicant's experience
List of references with contact details