Doctoral researcher

vor 1 Monat


Zurich, Schweiz ETH Zürich Vollzeit
Doctoral researcher (PhD Position) in Data Science: Mental Resilience in the Digital Age 100%, Zurich, fixed-termprint Drucken 

The Mobiliar Lab for Analytics at ETH Zurich develops and tests digital interactions using emerging technologies and artificial intelligence. As a joint initiative of ETH Zurich and a Swiss insurer, we focus upon how to create Responsible Digital Interactions by leveraging the benefits of emerging technologies balanced against their potential dark sides. Our research at the intersection of data, behavioral, and computer science draws on data from real-world and experimental settings. Examples of our previous projects can be found by visiting our website here.

Project background

In the upcoming project, we intend to design a digital intervention that strengthens individuals’ mental resilience. To do so, we will apply insights from the theory of embodied cognition and focus on the interplay between cognitive load, stress, and mental well-being. The digital intervention will employ both established (smartphone, smartwatch) and novel technologies (Mixed Reality/LLM chatbots) and be developed based on our findings from laboratory and field settings. Doctoral researchers on the project will have the chance to shape their own research questions.

Job description

We are currently seeking a doctoral researcher with a data science background to work alongside two other highly motivated and talented doctoral researchers in computer science and behavioural science at our Lab. The candidates will apply their respective expertise on a series of shared research activities, with the final aim of developing and launching a digital intervention.

Responsibilities include, but are not limited to:

  • Developing and testing digital intervention(s) using novel technologies
  • Collaborating with experts and industry partners
  • Attending international conferences to present your work
  • Publishing in top research journals
  • Communicating and engaging with the public
  • Teaching support and supervision under the umbrella of the Chair of Technology Marketing, D-MTEC
Your profile

Essential requirements:

  • Degree in data science, statistics, applied mathematics, or related fields
  • Proficiency in developing and deploying machine learning models (e.g., using Python, R)
  • Experience in data wrangling and feature engineering
  • Experience in model evaluation techniques
  • Excellent written and oral communication skills using English
  • Ability to work collaboratively in an interdisciplinary team
  • Strong interest in technology

Desirable requirements:

  • Familiarity with natural language processing (NLP) techniques and LLMs (e.g., ChatGPT)
  • Experience with database systems (e.g., SQL)
  • Familiarity with the Theory of Embodied Cognition
  • Fluency in German
  • Experience working in research and/or academia
Your workplace Your workplace We offer

ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.

chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we.

We look forward to receiving your online application, which includes the following documents:

  1. Curriculum vitae (1-2 pages)
  2. Cover letter (1 page)
  3. A statement of research interest related to the project outline above (1 page)
  4. Copies of bachelors and master’s degree
  5. Names and contact details of two references

The selection committee will review all applications on a rolling basis. As soon as a decision has been made, we will inform you about the next steps in the selection procedure.

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the institute can be found on our website mobiliarlab.ethz.ch. Informal enquiries regarding the position can be directed to Dr. Joseph Ollier (jollier@ethz.ch).

About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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