2 year fully funded EngD Motivational Data Representation

2 year fully funded EngD Motivational Data Representation

2 year fully funded EngD position with the EngD program Designing Human-System Interaction at the Department of Industrial Design (ID) in collaboration with Jheronimus Academy of Data Science (JADS)

Position

Engineering Doctorate (EngD)

Irène Curie Fellowship

No

Department(s)

Industrial Design

Institutes and others

JADS Den Bosch

FTE

1,0

Date off

15/02/2024

Reference number

V51.7169

Job description

The Department of Industrial Design of the TU/e is offering a fully-funded 2-year position to master graduates leading to the award of an EngD (Engineering Doctorate) degree in Designing Human-System Interaction, in collaboration with Jheronimus Academy of Data Science (JADS). This position is in the context of the project TREAT (Transforming Healthcare Through Semantic Interoperability and Self-Efficacy. The appointment is for two years starting in April 2024.

The project

Current healthcare systems were not designed for patients to prevent or manage their own chronic health conditions effectively. For patients, this involves a tangled web of medical advice from multiple healthcare providers, along with advice and recommendations from many other sources. The overall problem TREAT aims to help solve is the management of non- communicable diseases (NCDs). The negative impacts of NCDs on healthcare, productivity (~$47T in GDP from 2011 to 2025), quality of living, and morbidity (~71% of deaths) are substantial. Every UN member state has committed to reducing premature death from NCDs by ⅓ by 2035. An estimated 39M lives would be saved and generate an average economic benefit of $2.7T if an additional $18B was spent on NCDs between 2023-2036. A major determining factor in managing NCDs is patient self-care. However, healthcare systems struggle to teach translational skills that enable effective self-care (self- efficacy). Problems with patient self-efficacy include: (1) Disparate information from various self-care technologies lacking interoperability; (2) Infrequent and non-personalized monitoring and treatment guidance due to a reliance on healthcare providers for interpreting patient data; and (3) Difficulty with patient adherence to recommendations. TREAT will transform the market value chain for managing NCDs, placing integrators and platform developers at the forefront. The TREAT solution will add value through increased patient self-efficacy using semantic interoperability, AI, and advanced interfaces. Each partner involved will leverage TREAT to offer solutions for exploiting the healthcare organizations, payers, patients and telemedicine markets. The combined value of the commercial opportunities for TREAT partners exceeds €380 million. TREAT aims to build four innovations to address the above problem:

Textile-integrated electrodes for wearable electrocardiograms that will undergo functional validation for measuring activity at home.

Semantic interoperability with standards (HL7, EPSOS) using new technologies, including knowledge graphs and large language models, for easily integrating diverse data from wearables, journals, medical data and add context for interpreting relationships. TREAT interoperability tools will enable increased patient-centric analysis alongside AI recommendation algorithms.

Automated care feedback loops with AI recommendations based on link prediction with Graph Neural Networks and controlled scaling based on Graph Rewiring, while also employing pre-trained language models. The algorithms shall reach an accuracy of 90-95% compared to practitioner recommendations with strategies to achieve 99% post-project.

Novel interfaces using interactive augmented reality involving an avatar that verbally interacts with the patient and their environment using conversational AI on accessible digital devices (i.e. mobile) that increases adherence to medical advice by 30-40%.

The consortium, which represents the entire value chain for the solution, will leverage TREAT to target healthcare stakeholders and patients with solutions based on a validated platform pulling together disparate data to generate recommendations and increase patient self-efficacy. As part of our proposal, we will test several use cases using various digital health devices, sensors and programs to support patients living with cardiometabolic syndrome (diabetes, obesity, heart disease, arthritis, depression, anxiety) to manage their health at home. Once proven and validated, many other health conditions can be targeted. Within the context of the TREAT project, this PDEng candidate will work on the aspect 4: Novel interfaces using interactive augmented reality involving an avatar that verbally interacts with the patient and their environment using conversational AI on accessible digital devices (i.e. mobile) that increases adherence to medical advice.

The EngD candidate will collaborate closely with the project partners and researchers, including other PhD and EngD candidates involved, focusing on the data visualization and the UX design on the one hand, and contributing to the overall aim of the project on the other.

Candidates should have a background in an area related to interaction design (e.g., industrial design, software engineering, human-computer interaction, design for business innovation) and significant experience working on projects related to data and ML. They need to be creative, autonomous, self- organized, and data-oriented.

HSI Program

The mission of the HSI program is to train professionals who already have a Master's degree in design or engineering to develop competences in designing and evaluating interactive intelligent and innovative systems, services, and products. The goal is to ensure positive user experiences that support their values and needs. The HSI program is based on design thinking and system thinking , as well as scientifically founded and methodologically sound user-centered and data-driven approaches, paying special attention to the frontier of the complex systems enabled by artificial intelligence and other emerging technologies and its impact on individuals, organizations and society.

In the HSI program, candidates are positioned as designers throughout the program, as the intermediate between market demands and technical possibilities, between user needs and product satisfaction; candidates work on design cases and projects for research, industry, or government supervised by university staff and the host organization; Candidates work on assignments and case studies throughout the program; Candidates with backgrounds in the engineering, behavioral and physical sciences work in small interdisciplinary teams, together with other EngD, PhD, and Master students with different national and cultural backgrounds;

The structure of the program is attached. The design project stretches over two years with a total of 10 to 12 month of effort. The courses are offered once a year and the candidate may decide to take a course during either the first year or the second. Elective courses can be adjusted or replaced if needed. Design cases are one to three month long smaller design or research projects in the context of the research groups. For each individual candidate a Training and Supervision plan of courses, design cases and projects will be developed and followed according to the background of the candidate and the needs from the industry and business.

Career perspective

Examples of positions held by HSI graduates are data designer, ai-system designer, interaction designer, usability engineer, user experience designer, human factor engineer, information architect, manager in innovative businesses, and team leader of these roles.

Job requirements

The HSI program is for people who

are passionate in designing with AI and data, with a focus on business model innovation,

wish to improve the interaction between people and systems,

wish to make technology truly accessible and beneficial,

are interested in technological development and its impact on people,

like to lead and work in multidisciplinary teams in an international context,

like to be at the forefront of enabling technologies and want to exploit those technologies from the perspective of end-users, stakeholders, and business,

are challenged by societal impact, engineering problems and real-world constraints.

Eligible candidates shall have a relevant Master degree with a keen interest in human-machine interaction, the use of exponential technology for impact, and business innovation. Practical experience is an asset. We require that trainees in our program have excellent social and communicative competencies, including sufficient proficiency in reading, writing, speaking and comprehension of English.

Conditions of employment

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

A fixed-term, 2 year position in a research group with an excellent reputation. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, including.

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, scale TOIO (€2,618).

Additionally, 8% holiday and 8.3% end-of-year annual supplements.

A minimum of 41 holidays per year (excluding bank holidays, for a full- time employment of 40 hrs/week).

Additional benefits, including excellent technical infrastructure, childcare, holiday savings schemes, and sports facilities.

Assistance for finding accommodation is offered.

To support you during your EngD and to prepare you for the rest of your career, you will have free access to a personal development program for EngD trainees.

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

More information on the Engineering Doctorate Program and degree can be found here https: // www. tue.nl/en/education/graduate-school/engd-designing-human- system-interaction/about-hsi. See https: // www. tue.nl/en/education/become-a-tue-student/admission-and- enrollment/language-proficiency-requirements/ for more information.

Do you recognize yourself in this profile and would you like to know more? Please contact the hiring managers Jun Hu (email J.Huattue.nl) or Aarnout Brombacher (email a.c.brombacherattue.nl).

Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services, email HRServices.SupportUnitsattue.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 well-motivated application.

An extensive curriculum vitae.

Translated certificates certified by your University.

Certified lists of marks.

Two letters of recommendation.

A copy of the passport.

A passport photograph.

The address of the website of the university and department awarding the certificate.

IELTS test results, or other equivalent evidence of English level.

Candidates will be selected based on graduation mark and proficiency at university including consideration of the reputation of the university, relevant experience, and skills, writing skills and publications, work experience as well as performance in relevant modeling exercises and interviews.