PhD Student - Enabling Data-Analytics runtimes in the Cloud (R1)

Job Reference



PhD Student - Enabling Data-Analytics runtimes in the Cloud (R1)

Closing Date

Friday, 30 June, 2023
Reference: 112_23_CS_DCC_R1
Job title: PhD Student - Enabling Data-Analytics runtimes in the Cloud (R1)


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, and is a hosting member of the PRACE European distributed supercomputing infrastructure. 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 800 staff from 55 countries.

Look at the BSC experience:
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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.
Context And Mission
The data-centric computing group from the computer science department at the Barcelona Supercomputing Center is searching for 1 PreDoc for research on data analytics and machine learning towards novel architectures (RISC-V), willing to work on adapting, porting and evaluating Data Analytics runtimes in an EU project, for the course 2023-2025. The main objective is to participate in European research projects focused on porting Big Data infrastructures towards novel RISC-V technologies for data analysis, machine learning, and deep learning use cases and goals. For this, we're looking for a Ph.D. Student to join the DCC group and develop a research line in data analytics runtime and optimizations for new architectures. The mentioned tasks involve academic efforts such as experimenting and deploying HPDA platforms, AI/ML platforms, and compilers for novel platforms, also communicate research results (writing scientific papers, assisting at scientific conferences, ...).
Key Duties
  • Contribution to the development and porting of Big Data and Machine Learning frameworks.
  • Functional design and execution of benchmarking related to HPDA architectures and Cloud and Serverless.
  • Design of statistical and ML experiments toward multi-domain cases with large-volume data.
  • Contribute to collaborations with different international research partners.
  • Give mutual support to other researchers in the project.
  • Education
    • M.Sc. in computer science, computer architecture, or related fields (or close to finishing the master's).
  • Essential Knowledge and Professional Experience
    • Basic skills on Big Data and Machine Learning platforms (Spark and TensorFlow)
    • Basic skills on Compilers (i.e., LLVM), Virtualization and Containers (Kubernetes and Docker)
    • Knowledge of C++ (mandatory) and Bash/Java/Python/R languages and scripting
    • Basic skills on Linear Algebra libraries (BLAS, LAPACK or similar)
  • Additional Knowledge and Professional Experience
    • Basic skills on RISC-V architectures and cross-compiling tool-chains
    • Basic skills on emulators, simulators and FPGA (e.g., QEMU and GEM5)
    • Basic skills on Reproducible Research (Notebooks, GIT, etc...)
    • Understanding of high performance computing and distributed system concepts
    • Good English communication skills
  • Competences
    • Ability to work independently and in the context of a team/project
    • Flexible work schedule
  • The position will be located at BSC within the Computer 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: 01/04/2023
Applications procedure and process
All applications must be made through BSC website and contain:
  • A full CV in English including contact details
  • A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered

    In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.

    The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.

    At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.

    For more information follow this link
The vacancy will remain open until 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 planels 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


Application Form

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Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
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** Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.