Spain Job Openings

Barcelona Supercomputing Center (BSC)

Postdoc researcher in Computational Archaelogy (R2)

Barcelona

FULL TIME

November 27, 2024

Job Reference
852_24_DIR_CSSH_R2
Position
Postdoc researcher in Computational Archaelogy (R2)
Closing Date
Wednesday, 11 December, 2024
Reference: 852_24_DIR_CSSH_R2
Job title: Postdoc researcher in Computational Archaelogy (R2)


About BSC


The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses Mare Nostrum, 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 Euro HPC 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:
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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. 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 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. Through innovative approaches, we aim to apply social science research to contribute valuable insights for informed policymaking.

In our pursuit, we focus on a wide range of key societal research areas such as Population and Household changes, Democratic Quality, Social Media, Public Opinion and Political Communication, Equity and Welfare in Education and Labor Market, legal systems and Legislation, Social-Ecology, Science of Science, and History, Archeology and Cultural Heritage. Employing a mixed of advanced statistical models, AI/Machine Learning, Large Language Models (LLMs), Agent-Based Modeling (ABM), Social Network Analysis (SNA), high-performance computational methods are applied to a wide range of large datasets from official statistics, surveys, social media, news, laws, historical archives, current data archives, archaeology data, citizens' volunteered and web-scraping data, and public administration and industry data.

We are searching for an excellent researcher with a Ph D in Computer Science, Remote Sensing, Mathematics, Physics, Geospatial Analyses, Geosciences, Telecommunications or similar field interested in conducting research in archaeological sites detection based on applying machine learning techniques on satellite images.

The candidate will be involved in projects investigating novel Machine Learning algorithms to automatically detect archaeological sites from the information available on data provided by different and complementary satellite sensors. The candidate will report directly to Dr. Hèctor A. Orengo, and ultimately to Dr Mercè Crosas, Head of the Computational Social Science and Humanities Program at BSC.

This position has a clear research transfer and deployment profile. Based on previous results in the topic of archaeological site detection (Orengo et al. 2020, https://doi.org/10.1073/pnas.2005583117), new developments will update previous research with Machine Learning techniques, new sources of information, more scenarios and exhaustive validation. It will also be deployed in cloud infrastructures to disseminate these new tools among the archaeological community.


Key Duties


  • Review the relevant literature and related works.
  • Design and implement an automatic detection system to process efficiently big volumes of multispectral images. This includes developing a web-based front-end to download and manage the data to be processed and conceiving back-end algorithms to automatically extract information from the data using high performance computing resources.
  • Lead and coordinate the dissemination of the project results, including writing submissions to top journals and conferences.
  • Write deliverables and technical reports.
  • Engage with collaborators, participate in research discussions, and contribute with new ideas.
  • Participate in training activities.


Requirements


  • Education
    • Ph D in Computer Science, Remote Sensing, Mathematics, Physics, Geospatial Analyses, Geosciences, Telecommunications, or any other relevant field related to remote sensing, spatial and temporal statistical analysis and Machine Learning.
  • Essential Knowledge and Professional Experience
    • Experience in applied remote sensing, involving multi/hyperspectral image processing, supervised and unsupervised classifiers.
    • Knowledge of geostatistical analyses.
    • Excellent writing and communication skills in English.
    • Excellent programming skills in Python.
    • Experience in web programming and app development.
  • Additional Knowledge and Professional Experience
    • Excellent publication record in top journals (assessment relative to the candidate’s career stage).
    • Two or more years of experience in public or private applied research.
    • Experience in technology transfer, industrial research and/or research projects with both academic and industrial partners.
    • Programming experience in R.
    • Programming experience in Google Earth Engine.
    • Programming experience in GIS applications (ESRI Arc Map suite and QGIS).
    • Experience in the preparation of research proposals for funding agencies and writing technical reports.
  • Competences
    • Self-motivated and dedicated, with a strong commitment to excellence in all aspects of work.
    • Proven ability to work both independently and collaboratively within multidisciplinary teams and projects, and to engage with diverse stakeholders.
    • Strong analytical and problem-solving skills.
    • Exceptional organizational and time-management abilities, ensuring the efficient delivery of research outputs and project milestones.
    • Innovative and proactive mindset, consistently contributing creative ideas to advance research goals and methodologies.


Conditions


  • The position will be located at BSC within the Directors 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: 01/01/2025


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


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
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