Doctoral position: Human-AI Teaming in Healthcare and Aviation
The team of researchers at the Chair of Work and Organizational Psychology (Prof. Gudela Grote) strive to advance theory on the impact of artificial intelligence / machine-learning-based technologies (AI) on team collaboration (Human-AI Teaming) and to develop viable and future-oriented solutions for practice.
Project background
In this position, you will collaborate closely with other researchers and our industry partners in healthcare and aviation, two high-risk industries where the careful consideration of the effects of human-AI teaming is particularly important. The research undertaken in this position is part of the National Research Program on Digital Transformation (NRP77) https://www.nfp77.ch/en/ , a funding program that promotes impactful research with high visibility in both the scientific community and in practice.
Job description
More specifically, you will have the unique opportunity to work with two large data sets that have been collected as part of the ongoing program in healthcare already (survey and team interaction data on the cognitive, affective, and behavioral underpinnings of human-AI teaming). Additionally, you will be able to develop your own research questions on the topic of human-AI teaming in other high-risk environments such as aviation.
We offer
- the opportunity to work on a PhD thesis in the promising domain of human-AI teaming, within a high-visibility, high-impact research program, and at one of the most prestigious universities in Europe,
- the possibility to get engaged in the international research community and present at international conferences and publish with members of the research team in leading journals,
- the opportunity to collaborate with industry partners and renowned organizations, which are normally hard to access,
- the possibility to contribute to teaching activities at the Chair of Work and Organizational Psychology,
- excellent working conditions to complete a PhD thesis and flexible work arrangements
- provision of training as well as developmental support from experienced scholars, and
- support for translating research findings for practice as part of the NRP77 knowledge transfer activities.
We offer flexibility regarding the starting date (ideally Summer 2022). The position is initially funded for one year, with the view to fund a maximum of four years to finish a PhD at the ETH Zürich.
Your profile
We are looking for…
- a team player with the ability to also work independently,
- with an above average master’s degree in (organizational / social / cognitive) psychology or related subjects,
- with a strong sense of curiosity and passion about the topic,
- with a solid knowledge of empirical research, ideally with experience in both qualitative and quantitative methods (particularly in field experiments and interaction analysis),
- with knowledge of statistics and statistical software programs such as Stata, SPSS, or R,
- stamina and excellent organizational / project management skills,
- excellent communications skills in English (to write scientific papers and to present at international conferences),
- good communication skills in German (mainly to analyze the data and communicate with industry partners)
- motivation in creating impact not only in the scientific but also in the practice community.
ETH Zurich
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.
Interested?
We look forward to receiving your online application by January 31, 2022 with the following documents:
Please apply exclusively via the online application portal. Applications sent by e-mail or post will not be considered.
Further information about our group can be found on our website www.wop.ethz.ch .
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.
Similar Positions
-
Ph D Position In Argumentative Explainable Artificial Intelligence (1.0 Fte), Utrecht University, Netherlands, 4 days ago
If we want to apply artificial intelligence (AI) in high-risk domains, such as health care and the legal system, the applications need to be transparent and trustworthy. Additionally, they need to...
-
Ph D Position In Data Driven Marketing , University of Zurich, Switzerland, about 4 hours ago
URPP Social Networks PhD Position in Data-driven Marketing 60 % The PhD position is supported by the interdisciplinary project “How individual-level choices drive collective consumer behavior in so...
-
Ai Ble Lab 2 Ph D Positions, Delft University of Technology (TU Delft), Netherlands, 4 days ago
Department AiBLE is a TU Delft Artificial Intelligence Lab. Artificial Intelligence, Data and Digitalisation are becoming increasingly important when looking for answers to major scientific and so...
-
Ai Ble Lab 2 Ph D Positions, Delft University of Technology, Netherlands, about 13 hours ago
Challenge: Build lasting and liveable environments with and for people. Change : Embed AI in a multi-actor setting to facilitate the design of the built environment and drive behaviour change. Imp...
-
Ph D Position In Epidemiology In The Research Group Of The Swiss Multiple Sclerosis Registry , University of Zurich, Switzerland, about 4 hours ago
Swiss Multiple Sclerosis Registry; Epidemiology, Biostatistics & Prevention Institute PhD position in Epidemiology in the research group of the Swiss Multiple Sclerosis Registry 60 % (full-time doc...
-
Ph D Position In Argumentative Explainable Artificial Intelligence (1.0 Fte), Utrecht University, Netherlands, about 20 hours ago
PhD position in Argumentative Explainable Artificial Intelligence (1.0 FTE) Job description If we want to apply artificial intelligence (AI) in high-risk domains, such as health care and the legal...