Job Properties
  • Job Type
    Full-time Position
  • Background
    Other Science and Tech
  • Languages
    English
  • Experience Required
    Entry
  • Degree Required
    Bachelor
    • Province
      Eindhoven
    • Date Posted
      January 09,2021
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    PhD position within EU Innovative Training Network D-CoDE: Designing for trusted collaboration in human-AI teams

    Job Title

    PhD position within EU Innovative Training Network D-CoDE: Designing for trusted collaboration in human-AI teams

    Job Description

    In this role, you have the opportunity to

    Explore the design of AI-enabled clinical decision-support systems from the point of view of human-AI collaboration. Explore the different roles AI-powered systems can play in medical teams, e.g. to provide continuity and knowledge transfer across teams. You will leverage data and AI as a design material in the creative process and impact people’s lives through meaningful Ai- and data-enabled experience concepts.

    You are responsible for

    • Designing and prototyping experience concepts for human-AI collaboration that add value in a changing healthcare landscape

    • Evaluating human-AI collaboration experience concepts with healthcare professionals, patients and other stakeholders

    • Building a toolset and repeatable way of working for data-enabled design

    • Managing and carrying out your own research projects, and supervising MSc student projects

    • Working across disciplines and sectors in collaboration with other PhDs within the D-CoDE network

    • Participating in the research and training activities within the D-CoDE network

    • Attending progress and management meetings as required and network with the other research groups

    • Writing articles for scientific peer-reviewed venues

    • Writing progress reports and prepare results for publication and dissemination via journals, presentations and the web

    • Disseminating your research in the scientific community (international conferences) and non-scientific community, by outreach and public engagement.

    You are a part of

    The Data Enabled Design team, a group of data designers with expertise on data visualization, user experience research and prototyping with/around data and AI. The Data Enabled Design team is part of the global 400+ design community, working on both business and research driven projects.

    The PhD will be supervised by dr. Saskia Bakker (Philips Experience Design), prof. Peter Lloyd (Delft University of Technology) and prof. dr. Somaya Ben Allouch (Hogeschool van Amsterdam / University of Amsterdam). Being part of the D-CoDE network offers unique possibilities for training: dedicated summer/winter schools for all PhD candidates in which training will be delivered by renowned academics and practitioners; participation in "proto-teams", e.g., teams of PhD candidates with different disciplinary backgrounds who will engage with the real world to ethically develop and iteratively prototype future technologies, design roles and practices; exchanges abroad for training and collaboration with others partners; a wealth of resources for European training and collaboration.

    To succeed in this role, you should have the following skills and experience

    • A EU Master’s degree (or equivalent) in a relevant field, i.e. Artificial Intelligence, Human-Data Interaction, Interaction Design

    • 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;

    • Hands-on programming skills and experience in Data Visualization Libraries, e.g. D3), Reactive Java Script Frameworks (e.g. React), NodeJS, Python, Image processing (e.g. Matlab), or equivalent

    • Experience in creating strong interaction design concepts

    • Experience involving end-users in design processes through co-creation

    • Excellent communication skills in English, both in written and oral

    • Affinity with designing for the healthcare context

    • Demonstrable people skills, including the ability to run workshops, co-design activities and collaborate with various stakeholders are a plus, but not a necessity for this PhD position

    • Willingness and ability to travel abroad institutes in the consortium, for periods of a few weeks to a few months

    • Meet the eligibility criteria below

    Eligibility Criteria:

    D-CoDE is funded by the European Commission’s Marie Skłodowska-Curie programme and to be eligible for this funding you must meet the following criteria:

    • 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);

    • 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;

    • You must work on the project full-time.

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

    All fellows will benefit from support from the hosting organization for secondments, training modules and active participation in workshops and conferences. Visa costs and tuition fees are eligible.

    Mobility Criteria:

    D-CoDE is funded by the European Commission’s Marie Skłodowska-Curie programme and 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

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

    Application procedure

    The application deadline is February 14th. You are allowed to apply for multiple positions but you are required to indicate this in the cover letter and indicate priority. Incomplete applications will not be processed.

    Applicants should submit:

    • A cover letter explaining your personal motivation in pursuing a PhD as part of D-CoDE, including how you see the PhD fitting into your career trajectory (2 page max);

    • A CV, which should include details of your eligibility (degree and residency);

    • A statement detailing your main research questions and goals for the specific PhD project you are applying to (5 pages max);

    • Diploma and transcripts of records (BSc and MSc);

    • Contact details of 1-3 professional references;

    • A sample of writing, e.g., master thesis, scientific publications, professional or popular science writing;

    • Other information for consideration, e.g. design portfolio, artworks, patents, professional media content (if any).


    Online interviews will take place in the weeks of March 1-12, 2021 (first round) and March 22-26, 2021 (second round). Only selected candidates will be invited for interviews.

    The PhD position is scheduled to start on June 1st 2021

    Please note, your information will be shared with Philips members but also with the selection committee consisting of external stakeholders from the MC program.

    Why should you join Philips?

    Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 2.5 billion lives a year by delivering innovative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways. Learn more by watching this video.

    To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog. Once there,you can also learn about our recruitment process, or find answers to some of the frequently asked questions.

    Explore the design of AI-enabled clinical decision-support systems from the point of view of human-AI collaboration. Explore the different roles AI-powered systems can play in medical teams, e.g. to provide continuity and knowledge transfer across teams. You will leverage data and AI as a design material in the creative process and impact people’s lives through meaningful Ai- and data-enabled experience concepts.

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