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PhD within EU DCODE Innovative Training Network: Design and engineering methods for principled...

PhD within EU DCODE Innovative Training Network: Design and engineering methods for principled...

Países Bajos 15 feb. 2021
Delft University of Technology TU Delft

Delft University of Technology TU Delft

Universidad Estatal, Examinar oportunidades similares

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Universidad Estatal
Área
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Fecha límite
15 feb. 2021
Nivel de estudio
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  • A EU Master’s degree (or equivalent) in a relevant field, i.e. Artificial Intelligence, Machine Learning, Data Science, Human Computer Interaction, Human-Data Interaction;
  • Hands-on prototyping/programming skills and demonstrable experience in creating interactive systems;
  • Knowledge of ML libraries (e.g. TensorFlow), experience with interaction design and conducting user studies are a plus, but not a necessity for this PhD position;
  • Ability to conduct and deliver high quality research both independently and as part of an interdisciplinary team;
  • A passion for improving people’s lives through better design and a demonstrable interest in the role of technology in society;
  • Excellent communication skills in English, both in written and oral;
  • Meet the eligibility criteria below.

Eligibility Criteria:

DCODE is funded by the European Commission’s Marie Skłodowska-Curie programme and to be eligible for this funding you must not already hold a PhD and have less than four years of research experience since you gained the degree that qualifies you for this post, that is, a EU master’s degree (MSc, MA or MFA degree) or equivalent (BA or BSc degree 1st class or 2:1 equivalent).

Additionally, you must not have resided or carried out your main activity (work, studies, etc.) in the selected country for more than 12 months in the 3 years immediately prior to your recruitment.

Please ensure that this information is clear on your CV. Researchers can be of any nationality.

Mobility Criteria:

Because, DCODE is funded by the European Commission’s Marie Skłodowska-Curie programme, ESRs are expected to be embedded and engage for two to four months at other organizations in the consortium as part of placements and prototeam assignments, before returning to complete their PhD in their respective institutes.

COVID-19 Flexibility:

The COVID-19 pandemic is causing major disruptions for many researchers, projects and organisations, including those working with EU funding. In agreement with the European Commission, DCODE may adopt a flexible approach to how mobility rules are applied, including remote working and online collaboration until the situation has stabilised and travel and relocation become feasible.


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