PhD candidate in Clinical Team-AI Collaboration to Advance Cancer Care

Eindhoven University of Technology
Netherlands
January 15, 2023
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PhD candidate in Clinical Team-AI Collaboration to Advance Cancer Care

Position

PhD-student

Irène Curie Fellowship

No

Department(s)

Industrial Design

FTE

1,0

Date off

15/01/2023

Reference number

V51.6174

Job description

The Department of Industrial Design of the Technische Universiteit Eindhoven (TU/e) is looking for a

PhD-student in Clinical team-AI collaboration under real world conditions to advance cancer care

Do you want to research how clinicians can best collaborate with Artificial Intelligence (AI)? Do you want to improve the future of cancer care?

About the project

We are seeking one PhD candidate for the MEDical Engineering, Innovations and Applications (MEDEIA) research project. This project aims to advance clinical decision support for (lung & pancreas) cancer care with artificial intelligence (AI), taking a patient-centered and physician-centered approach to optimize physician-AI collaboration and adoption of AI in clinical practice. It is key to design human-centered AI solutions that encourage long- term use and trustworthy engagement, and that also seamlessly fit into complex clinical workflows.

You will be part of an innovative multi-disciplinary team

This project is part of the Eindhoven MedTech Innovation Center (e/MTIC). e/MTIC is a public-private partnership aimed at creating and growing an ecosystem that offers a fast track to high-tech health innovations. Within this ecosystem, we aim to create impactful innovations in the oncology domain, through close multidisciplinary collaboration between an academic partner (Eindhoven University of Technology), top-clinical hospital (Catharina Hospital Eindhoven) and industrial partner (Philips Research and Philips Experience Design).

This PhD position will be embedded in a multidisciplinary team of in total 6 EngD/ PhD candidates covering clinical, machine learning, and design expertise. These candidates will closely collaborate and share data, AI models, technological platforms and methodologies as complementary focus points of each PhD position.

This PhD position: studying clinical team-AI collaboration under real world conditions

Thousands of AI solutions for radiology have been developed in research labs, but few have been adopted successfully in clinical practice, limiting their impact on patient outcomes. A well-recognized cause for this poor adoption is a lack of human-centered design of AI, leading to solutions to clinically insignificant problems, too much or too little trust in AI outcomes and poor fit of AI solutions in clinician's ways of working.

In the design-research trajectory, the Ph.D. student will deep-dive into what determines actual use of AI-assisted decision support tools by clinical teams. In this position you will:

  • Conduct hospital field studies to analyze how clinical teams use AI in their day-to-day decision making in clinical practice (i.e., study clinical team decision making processes including actual use and adoption of AI tools under real-world conditions).
  • Pinpoint important experience factors that drive actual use of AI in clinical practice (e.g., trust, fit of AI into clinical team decision making rituals) and study how these can be influenced by design of AI- based decision support solutions (i.e., design interventions).
  • Ideate with designers and AI developers to materialize design interventions, particularly in the context of decision support being developed by the project team for lung- and pancreatic cancer.
  • Set-up and conduct experimental studies to research the effect of design interventions on (simulated) clinical team decision making (e.g., diagnosis) and experience factors (e.g., trust in AI, team decision making rituals) under conditions that realistically simulate clinical practice (e.g., simulation based on actual cases, using -realistically simulated- AI, under conditions that closely resemble clinical practice).

    • Relevant results of the project so far can be found here: https: // www. red- dot.org/project/advancing-cancer-care-with-human-centered-artificial- intelligence-60211

    Eindhoven University of Technology (TU/e, www. tue.nl ) is one of Europe's leading research universities. The Eindhoven area, in the southern part of the Netherlands, is one of Europe's top 'innovation ecosystems', with many high- tech companies and institutes. TU/e is intertwined with many of these companies and institutes, and research at TU/e is characterized by a combination of academic excellence, industrial relevance and societal interweaving. The Department of Industrial Design (ID) of the Eindhoven University of Technology (TU/e), founded in 2001, is a maturing department with over 650 students, both Bachelor and Master, and around 40 research staff members and about 10 lecturers. The mission of the department of Industrial Design at TU/e is Research on and Education in the Design of Systems with Emerging Technologies in a Societal Context.

    The PhDs will be under the supervision of Prof. dr. Lin-Lin Chen and Dr. Mathias Funk in the Department of Industrial Design at Eindhoven University of Technology. The project will be executed in collaboration with Philips Experience Design; Dr. Jon Pluyter of Philips Experience Design are closely involved in the supervision of the PhD students. At the TU/e, the positions are situated within the research cluster of ‘Future Everyday'. The Future Everyday cluster investigates the everyday interactions between individual people and the highly interconnected technology that surrounds them. Researchers measure, model and design for the user experience when individuals interact with social-technological networks in their homes, at work, in transit, while doing sports or going out.

    Prospective starting date: February 2023.

    Job requirements
  • Recently completed (or be close to the completion of) a Master's degree in Cognitive Psychology, Human Factors, Industrial Design, Applied Social Psychology, Cognitive Artificial Intelligence, or a related field that shows an interest in the combination of decision-making, human cognitive psychology, and design of intelligent systems.
  • Demonstrable experience in conducting qualitative research; particularly contextual inquiry, workflow observations and analysis of team decision making.
  • Demonstrable experience in conducting experimental research, including knowledge of and demonstrable experience with applying (state of the art) statistical techniques.
  • Openness, interest and good soft skills to work closely with people from other disciplines and across organizations. Collaborate with partners (Philips, Catharina Hospital) in proximity distance.
  • Eager to learn and tackle complex healthcare challenges. Experience working in a healthcare (design) context is a plus.
  • Fluency in English is a must (written and spoken), Dutch (spoken) is desirable considering that this position includes conducting contextual inquiry studies in Dutch hospitals.
    • Conditions of employment

    A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities.
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self- aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.
    • Information and application

    About us

    Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands- on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.

    Information

    Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager dr. Mathias Funk, email m.funkattue.nl. General information about the Department Industrial Design, candidates will find on this link.

    Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services Industrial Design, tel. +31(0) 40 2475336, e-mail: HRServices.IDattue.nl.

    Are you inspired and would like to know more about working at TU/e? Please visit our career page.

    Application

    We invite you to submit a complete application by using the apply button. The application should include a:

  • a written application letter with a clear motivation section
  • a curriculum vitae
  • a preliminary research plan (optional)
  • existing publications (if available)

    • Please note that a maximum of 5 documents of 2 MB each can be uploaded via the apply now button. If you have more than 5 documents you will have to combine them.

    Applications per e-mail are not accepted.

    The deadline for applications is January 15, 2023. However, if you are interested, we invite you to apply as soon possible. Selection will begin immediately and continue until the position has been filled.

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