- JOB
- Netherlands
Job Information
- Organisation/Company
- Radboud University Medical Center (Radboudumc)
- Research Field
- Medical sciences
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Netherlands
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Not Applicable
- Hours Per Week
- 36.0
- Is the job funded through the EU Research Framework Programme?
- Not funded by a EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Are you the talented PhD student to join our multidisciplinary research group on creating AI solutions for people with Parkinson’s disease? You will be part of the AI for Parkinson lab, where you will collaborate with 5 fellow PhD students. Our joint aim is to derive novel digital biomarkers from video and wearable sensor data, with the mission to transform clinical trials and care for people living with Parkinson’s.
During your PhD project, you will analyze data from multiple unique cohort studies conducted at the Radboudumc, including the Personalized Parkinson Project, in which a large group of people with Parkinson’s disease was monitored for multiple years using a multi-sensor smartwatch and repeated video assessments. You will work closely together with AI specialists to develop various deep learning and statistical machine learning models to capture important Parkinson symptoms, and to perform fusion of video-, audio- and wearable sensor data. By collaborating with clinical experts, you will incorporate domain knowledge into the models and obtain insights into the progression of Parkinson’s disease using the developed tools. Making your results available to the community will benefit future studies, for example by providing more sensitive outcomes for clinical trials aiming to halt the underlying neurodegeneration.
Your everyday interactions will be with AI and clinical researchers from the AI for Parkinson Lab at the Radboudumc Center of Expertise for Parkinson & Movement Disorders, and the AI Department of the Radboud University. In addition, you will have the opportunity to interact with specialists from Verily, the lab’s industry partner. The AI for Parkinson’s Lab is part of the Innovation Center for Artificial Intelligence (ICAI) network, a Dutch network of ICAI labs focussing on diverse AI applications, which offers various opportunities for networking, career development, and training.
Tasks and responsibilities
- Design and conduct scientific research in a stimulating, interdisciplinary environment
- Develop various deep learning and statistical machine learning models to analyze video-, audio- and wearable sensor data, collected in large cohort studies.
- Interpret findings in close collaboration with clinical and machine learning experts.
- Present results at scientific conferences and in peer-reviewed publications.
- Make the developed AI tools available for the community.
- Contribute to knowledge transfer by teaching activities.
- Follow relevant courses at the Radboudumc, Radboud University and Donders Graduate School.
- Finalize the project with a PhD thesis.
Where to apply
Requirements
Specific Requirements
Our ideal PhD candidate has excellent programming skills in Python and experience with deep learning frameworks, demonstrated by multiple projects, ideally involving video and other time-series data.
Furthermore, you recognize yourself in the profile below:
- Master's degree in computer science, artificial intelligence, mathematics, or a related field of study with a focus on machine learning / artificial intelligence.
- Solid foundation in mathematics.
- You are enthusiastic to collaborate with researchers from different disciplines, and to expand your knowledge about the medical context.
- High proficiency in spoken and written English.
- Strong team working skills.
- Curious and proactive attitude.
Additional Information
Benefits
Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. And there is more. Our secondary terms of employment are impressive. These are fully tailored to you thanks to our Employment Conditions Selection Model. At Radboud university medical center, you will be given trust, and you will take the responsibility to handle everything together. We provide annual courses, both professional and personal.
- A gross monthly salary between € 2.901 and € 3.677 (scale 10A) based on full-time employment.
- An annual vacation allowance of 8% and an end-of-year bonus of 8.3%.
- If you work irregular hours, you will receive an allowance.
- As a full-time employee (36 hours per week), you are entitled to approximately 168 vacation hours (over 23 days) per year.
- Radboud university medical center pays 70% of the pension premium. You pay the rest of the premium with your gross salary.
- Discount on your supplementary health insurance. You can make use of two collective health insurance policies: UMC Health Insurance and CZ Collective. They offer many extras to stay vital and healthy, such as a prevention budget, workshops, and apps.
In addition to our terms of employment, we also offer employees various other attractive facilities, such as childcare and sports facilities. Want to learn more? Take a look at the Cao UMC.
Selection process
Any questions? Please contact Yagmur Güçlütürk, head of the Neural Engineering lab or Luc Evers, lab manager AI for Parkinson lab. Use the Apply button to submit your application.
Some demographic data of selected applicants will be shared with Maastricht University who is coordinating the recruitment for LTP ROBUST.
Additional comments
Any questions? Please contact Yagmur Güçlütürk, head of the Neural Engineering lab or Luc Evers, lab manager AI for Parkinson lab. Use the Apply button to submit your application.
Some demographic data of selected applicants will be shared with Maastricht University who is coordinating the recruitment for LTP ROBUST.
- Website for additional job details
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Radboudumc
- Country
- Netherlands
- City
- Nijmegen
- Postal Code
- 6525 GA
- Street
- Geert Grooteplein-Zuid 10
Contact
- City
- Nijmegen
- Website
- Street
- Geert Grooteplein-Zuid 10
- Postal Code
- 6525 GA