Job Reference
538_24_DIR_CSS_RE3
Position
Research Engineer in Computational Social Science and Humanities (RE3) - AI4S
Closing Date
Sunday, 13 October, 2024
About BSC
The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science under one roof, and currently has over 1000 staff from 60 countries. We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Context And Mission
The Computational Social Science and Humanities Program envisions preparing the social sciences and humanities for the era of data, artificial intelligence (AI), and Exascale supercomputing. Our mission is to foster collaboration between social scientists and computer scientists, making high-performance computing (HPC) accessible to all researchers in the field. As a research engineer, you will play a pivotal role in facilitating the researchers' work, particularly the research unit on Computational Archeology, and reporting to both the head of the Data and Methods group, and the archeology unit IP.
Key Duties
Assisting developing tools for computational archeology and digital humanities, including geospatial applications.
Implementing Artificial Intelligence, Machine Learning, Network Analysis applications.
Contributing to developing 3D tools.
Contributing to curating and managing FAIR data (Findable, Accessible, Interoperable, Reusable) for digital datasets in archeology.
Developing research tools to help advance research on computational and digital humanities in collaboration with the Computer Science and Operations departments of the BSC-CNS.
Providing support adopting the researchers' code to High Performance Computing.
Requirements
Education
Computer Science Degree, Telecommunication Engineering, Archaeology or similar
MSc in Computer Science, Archaeology or similar is highly desirable
Essential Knowledge and Professional Experience
4 + years of experience building AI/ML tools
Extensive hands-on experience programming (e.g., Python) and developing applications for research
Experience in computational methods and large datasets
Experience in high-performance computing
Additional Knowledge and Professional Experience
Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
Experience implementing tools for digital humanities
Experience working with geospatial data is a plus
Experience in 3D data and data standards is a plus
Competences
Ability to work in a team and in a multi-cultural environment.
Interest and ability for independent learning, adapting and developing computational methods to answer research questions in archeology.
Good communication skills for effective collaboration with researchers and other research engineers and data scientists.
Interest and curiosity for artificial intelligence, machine learning, network analysis in the digital humanities.
Conditions
The position will be located at BSC within the Computational Social Science and Humanities Program.
We offer a full-time contract (37.5h/week), a good working environment, flexible working hours, extensive training plan, restaurant tickets, private health insurance
Duration: 4 years
Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
Salary: 50.000,00
Starting date: asap - the incorporation for this vacancy must be before the 16th of December 2024
Applications procedure and process
All applications must be submitted via the BSC website and contain:
A full CV in English, including contact details.
A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system. The recruitment process consists of two phases:
Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position.
Interview phase: The highest-rated candidates will be invited to the interview phase, conducted by the corresponding department and Human Resources.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes.
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