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Postdoc Markerless Motion Capture for Home Monitoring in Neurological Populations (Computer Vision)

3 546 - 5 538
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Netherlands/Belgium
Релокация
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Postdoc Markerless Motion Capture for Home Monitoring in Neurological Populations (Computer Vision): Developing and validating a privacy-preserving, single-camera markerless motion capture system for clinical assessment and long-term home monitoring of motor impairments in stroke and Parkinson’s disease patients with an accent on biomechanics, synthetic video data, and clinical validation. Focus on testing algorithms across laboratory and home environments, analyzing pathology and morphology variation, and designing privacy-preserving clinician-facing visualizations.

Location: Based at hirify.global in Delft, the Netherlands, with part of the work conducted on-site at Model Health in Leuven, Belgium. Willingness to travel regularly to Leuven is required; relocation to the Netherlands may be necessary.

Salary: €3,546–€5,538 per month, in accordance with the Collective Labour Agreement for Dutch Universities.

Company

hirify.global is an international technical university conducting research and education across engineering, digitalisation, artificial intelligence, healthcare, and sustainable technology.

What you will do

  • Validate markerless motion capture against marker-based data from stroke patients.
  • Generate biomechanically accurate synthetic video data for model training and controlled sensitivity analyses.
  • Develop a single-camera markerless motion capture system for home-based monitoring.
  • Evaluate algorithm performance across laboratory and home-recorded environments, pathology severity, body morphology, camera viewpoints, and environmental conditions.
  • Design clinician-facing visualization tools with privacy-by-design anonymization of patients and their home environments.
  • Prepare peer-reviewed publications and consortium deliverables while coordinating with academic, clinical, and industry partners.

Requirements

  • PhD in Biomechanical Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related discipline.
  • Experience with pose estimation, computer vision, and/or synthetic data generation for model training.
  • Strong programming skills, including Python, for algorithm development, data analysis, and computational modelling.
  • Experience with or affinity for clinical and experimental gait data from neurological populations, particularly stroke and Parkinson’s disease.
  • Excellent organizational and communication skills, with the ability to work independently in a multidisciplinary consortium.
  • Fluency in English is required, and regular travel to Leuven, Belgium is expected.

Nice to have

  • Proficiency in Dutch for patient communication.
  • Proficiency in Moroccan Arabic or Turkish.

Culture & Benefits

  • Full-time, funded 36-month postdoctoral position with a 36–40-hour working week.
  • Collaborative international research environment involving universities, hospitals, companies, rehabilitation partners, and patient organisations.
  • Access to state-of-the-art laboratories, clinical partners, patient organisations, and experts in medical technology and AI-driven healthcare.
  • Excellent mentorship, pension scheme through ABP, flexible working week, and an individual employment package.
  • 232 hours of annual leave based on a 38-hour week, with options to buy or sell additional leave.
  • Training opportunities, partially paid parental leave, health-insurance discounts, and relocation support through Coming to Delft Service.

Hiring process

  • Submit a CV and motivational letter by 7 September 2026.
  • Selected applicants will provide contact details for two references, including at least one academic reference.
  • A knowledge-security risk assessment takes place during the final recruitment stages.

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