The project aims at pushing the boundaries of machine learning and reinforcement learning with applications to healthcare data. This project will develop state-of-the-art machine learning architectures tailored for temporal data. The goal will be to improve existing techniques such as off-policy evaluations in the context of reinforcement learning with both fundamental and applied contributions.

The application on epidemiological data will apply these innovative methodologies to refine our understanding of how environmental factors interact with intrinsic capacity, ultimately shaping functional outcomes in older adults.

• you’ll develop new algorithms and characterize their properties with theoretical and experimental techniques.
• you’ll apply these algorithms on real-world data with applications to healthcare.
• you'll be at the forefront of an interdisciplinary research, driving innovation through your expertise in machine learning and reinforcement learning.

• a PhD in a relevant area of machine learning with either a focus on the fundamental aspects of machine learning or experience with healthcare data
• able to function well both in a multidisciplinary team as well as independently and possess good communication skills
• knowledge of python and relevant machine learning packages including deep learning
• willingness to develop new machine learning algorithms and apply them in the context of healthcare data

As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we are committed to creating an inclusive community so that we can use diversity as an asset.

We realise that each individual brings a unique set of skills, expertise and mindset. Therefore we are happy to invite anyone who recognises themselves in the profile to apply, even if you do not meet all the requirements.

Fixed-term contract: 1 year.

This position is for a 12 month period starting at June 1st, 2024.

• a salary of minimum € 3.226,00 (Scale 10) and maximum € 5.090,00 (Scale 10) gross per month, on a full-time basis. This is based on UFO profile Researcher 4. The exact salary depends on your education and experience.
• a position for at least 1 FTE. Your employment contract will initially last 1 year.

We also offer you attractive fringe benefits and regulations. Some examples:

• A full-time 38-hour working week comes with a holiday leave entitlement of 232 hours per year. If you choose to work 40 hours, you have 96 extra holiday leave hours on an annual basis. For part-timers, this is calculated pro rata.
• 8% holiday allowance and 8.3% end-of-year bonus
• solid pension scheme (ABP)
• contribution to commuting expenses
• optional model for designing a personalized benefits package

Vrije Universiteit Amsterdam

Faculty of Science
Researchers and students at VU Amsterdam’s Faculty of Science tackle fundamental and complex scientific problems to help pave the way for a sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the full spectrum of the natural sciences. Our teaching and research have a strong experimentally technical, computational and interdisciplinary nature.

We work on new solutions guided by value-driven, interdisciplinary methodologies. We are committed to research, valorisation and training socially engaged citizens of the world who will make valuable contributions to a sustainable, healthy future.

Are you interested in joining the Faculty of Science? You will join undergraduate students, PhD candidates and researchers at the biggest sciences faculty in the Netherlands. You will combine a professional focus with a broad view of the world. We are proud of our collegial working climate, characterised by committed staff, a pragmatic attitude and engagement in the larger whole. The faculty is home to over 11,000 students enrolled in 40 study programmes. It employs over 1,600 professionals spread across 10 academic departments.

Vrije Universiteit Amsterdam
Vrije Universiteit Amsterdam stands for values-driven education and research. We are open-minded experts with the ability to think freely. - a broader mind. Maintaining an entrepreneurial perspective and concentrating on diversity, significance and humanity, we work on sustainable solutions with social impact. By joining forces, across the boundaries of disciplines, we work towards a better world for people and planet. Together we create a safe and respectful working and study climate, and an inspiring environment for education and research. Learn more about our codes of conduct

We are located on one physical campus, in the heart of Amsterdam's Zuidas business district, with excellent location and accessibility. Over 5,500 staff work at the VU and over 30,000 students attend academic education.

Diversity
Diversity is the driving force of the VU. The VU wants to be accessible and receptive to diversity in disciplines, cultures, ideas, nationalities, beliefs, preferences and worldviews. We believe that trust, respect, interest and differences lead to new insights and innovation, to sharpness and clarity, to excellence and a broader understanding.

We stand for an inclusive community and believe that diversity and internationalisation contribute to the quality of education, research and our services.

Therefore, we are always searching for people whose backgrounds and experience contribute to the diversity of the VU community.