Job Reference
215_25_LS_MLBR_RE2
Position
Research engineer – Artificial Intelligence for sensors and multi-omics data for stroke care (RE2)
Closing Date
Wednesday, 26 March, 2025
Reference: 215_25_LS_MLBR_RE2
Job title: Research engineer – Artificial Intelligence for sensors and multi-omics data for stroke care (RE2)
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, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision 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 (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
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.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
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 Machine Learning for Biomedical Research (ML4BM) Unit, led by Davide Cirillo, is seeking a Research Engineer (RE2) to work in the context of distributed solutions for machine learning in cerebrovascular conditions (stroke) using sensors data from wearable devices and multi-omics data.
The Life Sciences Department at the BSC integrates the independent research of senior scientists that work on various aspects of computational biology, ranging from bioinformatics for genomics to computational biochemistry and text mining. The ML5BR Unit (https://www.bsc.es/discover-bsc/organisation/research-departments/machine-learning-biomedical-research) is involved in multiple projects covering a wide range of topics concerning biomedical AI applications, including synthetic data generation, network science, wearable technologies, and AI ethics.
The Researcher will work in a highly sophisticated HPC environment, will have access to state-of-the-art systems and computational infrastructures, and will establish collaborations with experts in different areas both at international and local levels.
The Life Sciences Department at the BSC integrates the independent research of senior scientists that work on various aspects of computational biology, ranging from bioinformatics for genomics to computational biochemistry and text mining. The ML5BR Unit (https://www.bsc.es/discover-bsc/organisation/research-departments/machine-learning-biomedical-research) is involved in multiple projects covering a wide range of topics concerning biomedical AI applications, including synthetic data generation, network science, wearable technologies, and AI ethics.
The Researcher will work in a highly sophisticated HPC environment, will have access to state-of-the-art systems and computational infrastructures, and will establish collaborations with experts in different areas both at international and local levels.
Key Duties
- Application of machine learning methods, with special emphasis on distributed solutions, for the analysis and interpretation of sensors data.
- Integration of sensors data and multi-omics data using advanced data mining and machine learning techniques for stroke care.
- HPC solutions for machine learning applications in life sciences.
- Preparation and presentation of scientific articles.
- Establish and maintain collaborations with national and international researchers.
Requirements
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Education
- PhD in computer science or bioinformatics with a machine learning component.
- Alternatively, an MSc in Artificial Intelligence, Bioinformatics, Biomedical Engineering, Electrical Engineering or related disciplines, with a strong computer science background, or background in applied mathematics/physics with demonstrated experience in machine learning methods.
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Essential Knowledge and Professional Experience
- At least 3 years of experience using machine learning methodologies.
- Strong interest in digital technologies for life sciences.
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Additional Knowledge and Professional Experience
- Knowledge and experience in biomedical research, specifically cardiovascular diseases or related medical areas.
- Knowledge and experience in data science methodologies: Data pre/post-processing (feature selection, dimensionality reduction, plotting and visualization). Time-series analysis. Signal processing. Deep learning theory and frameworks (PyTorch, Keras, TensorFlow). High-performance computing (HPC). Fundamentals of linear algebra. Bayesian inference.
- Programming: Python (scikit-learn, numpy, matplotlib), Matlab, R, Java, C, C++, Git.
- Fluency in spoken and written English.
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Competences
- Capacity to explore innovative concepts and research directions.
- Good communication and presentation skills.
- Ability to work both independently and within a team.
Conditions
- The position will be located at BSC within the Life Sciences Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
- Starting date: 01/07/2025
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. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). 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. - 40 points
- Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es.
For more information, please follow this link.
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, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link