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PhD position on predictions of complications or side-effects in the long-term after cancer/obesity

You cannot apply for this job anymore (deadline was 20 Oct ’23)

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PhD position on predictions of complications or side-effects in the long-term after cancer/obesity

Deadline Published Vacancy ID 1428

Academic fields

Health

Job types

PhD

Education level

University graduate

Weekly hours

40 hours per week

Salary indication

€2770—€3539 per month

Location

Drienerlolaan 5, 7522NB, Enschede

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Job description

  • This project is part of the prestigious 4TU RECENTRE program, focusing on continuous patient monitoring for long-term predictions. You'll be at the forefront of deep-tech sensor technology, monitoring the health of individuals dealing with cancer or obesity from the comfort of their homes. Through predictive patient profiling and risk modelling, you'll help tailor personalized lifestyle recommendations for those who need it most.
  • Your role will involve exploring non-invasive methods for monitoring vital signs, such as wearable technology, patient questionnaires, and hospital checkup data, to detect and track late effects after cancer or obesity. If you're ready to make a meaningful impact on the future of healthcare, this is your opportunity to shine. Join us in revolutionizing patient care and research at the intersection of technology and medicine.
  • Collaboration is at the heart of this endeavour. You'll engage with a diverse team of fellow PhD candidates and researchers spanning engineering, mathematics, nutrition sciences, social sciences, and psychology. Insights from different work packages will continually inform and enrich your research. Additionally, you'll have the privilege of closely collaborating with the talented biomedical engineers and data scientists of the Biomedical Signals and Systems Group (BSS) and Data Management and Biometrics Group (DMB) groups at UT.

Requirements

  • Master’s degree or equivalent in electrical engineering, computer science, biomedical engineering, or technical medicine.
  • Experience in signal processing, machine learning, and deep learning of time-series data.
  • Affinity towards engaging with patients and excellent communication skills to compassionately collaborate with people with vulnerable health
  • Affinity and/or experience with working in an interdisciplinary team, and learning from and collaborating with people with various backgrounds
  • Independent thinking and critical analytical skills
  • Ability to work within a complex, innovative and creative research project
  • Excellent oral and written communication skills in English in order to work in an international university and also collaborate with research participants and other stakeholders

Conditions of employment

  • As a PhD student at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment. Starting date 1 December 2023 or earlier;
  • Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
  • You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);
  • There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme
  • A family-friendly institution that offers parental leave (both paid and unpaid);
  • A minimum of 29 holidays per year in case of full-time employment.
  • A green campus with lots of sports facilities and an international scientific community.

Department

Biomedical Signals and Systems BSS is a multidisciplinary group based in Electrical Engineering, focusing on finding solutions for medical challenges via signal and system analysis. Advanced (ambulatory) sensor technology combined with our broad knowledge of the human body as a dynamic system enables (eHealth) technology to improve prevention, diagnosis and treatment of sensory, motor and internal dysfunction in clinical and home/selfcare setting. Our research helps to improve the quality of life of elderly, people with chronic diseases and rehabilitation patients. The research mission of the Biomedical Signals and Systems (BSS) group is to
  1. enable improved diagnosis and treatment of patients with motor, sensory and cardiopulmonary dysfunction in clinical and home/self-care setting,
  2. by developing knowledge, methods and tools for identification, control and modulation of neural, muscular and cardiopulmonary systems, cognition and behaviour,
  3. using smart sensing, novel data analysis techniques and selective actuation technology or personalized eHealth technologies that enable prevention, timely diagnostics, and personalised coaching & treatment for chronic care and rehabilitation.

High Tech and Human Touch

Join the university of technology that puts people first. Create new possibilities for yourself, your colleagues and society as a whole. Using modern technology and science to drive innovation, change and progress. That’s what it means to work at the University of Twente.

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