PhD in Data Science and Computational Archives (closed)

We are recruiting two new PhD candidates to join the Laboratory for Experimental Museology for the upcoming SNF Sinergia interdisciplinary project involving experts in machine learning, visual analytics, digital museology, and archival science to create a groundbreaking visualization framework for interactively (re)discovering hundreds of thousands of hours of audiovisual materials. Narratives from the long tail: transforming access to audiovisual archives. Narratives draws on leading digital archives including: Radio TĂ©lĂ©vision Suisse, the UNESCO Memory of the World listed Montreux Jazz Festival archive, and the Netherland’s Eye Filmmuseum’s Mutoscope collection. These vast archives demand new solutions from those who want to engage with them to: deliver computational transformations in the data curation to augment conventional archives with richer semantic meaning; design a narrative visualization framework, combining spatio-temporal, social, aesthetic and affective semantics to pioneer new audiovisual storytelling formats and; to develop platforms for the navigation, exploration and creative reorganization of moving images through immersive and interactive systems, for broad publics in museums. Your opportunity to join and international team of experts in bringing this seminal project to fruition.

The openings are in:

  • Multimedia Visualization (graphics and audio for large scale interactive immersive systems at eM+, specially 360-degree 3D systems)
  • Data Science and Computational Archives

 

1) PhD Position in Data Science and Computational Archives

Your profile:

You are curious and motivated with a passion for research into the computational archival science and cultural big data and.

You have:

  • a MA degree in computer science, specifically data science, computational archival science, information science or a related field.
  • skills in computer programming, knowledge in data science and machine learning is preferable.
  • very good analytic skills; project design and implementation with several stakeholders and custodians of big cultural data.
  • a background or interest in the applied world of museums, in the futures of mass digital archives and immersive systems design for mass publics.
  • interest in films.
  • team spirit and the ability to work in an interdisciplinary environment.
  • fluency in English.

We offer

At EPFL doctoral students are regular full-time employees. Doctoral studies commonly last 4 years, with a candidacy exam after the first year. The EPFL provides an international academic ecosystem, excellent and stimulating research, training and teaching environment as well as a dynamic and lively international campus with a vibrant student life and cultural events.

At eM+, you will join an interdisciplinary team of 10 people with diverse backgrounds such as museums, archives, imaging and visualization, graphics coding and human computer interaction.

Application procedure

All applications should be submitted online via the doctoral school of Digital Humanities (EDDH) and be admitted.  Please refer to the website of EDDH (https://www.epfl.ch/education/phd/eddh-digital-humanities/) for application requirements and deadlines. The application should specifically include a CV, motivation letter (directed to Prof. Dr Sarah Kenderdine), and three academic references. Details about the procedure and other required application files are found at the submission portal. We strongly encourage female scholars to apply. For candidates with equal qualifications, preference will be given to people with disabilities.

Start date

June 1, 2021 (envisaged, but the actual start date can be more flexible).

Contact

Questions can be sent to [email protected]. Please do not submit your application via email but by the website. I’m happy to enter into discussions prior to application.

Deadline for application

The application deadline is April 30th, 2021 (closed). 

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