PhD student in Machine Learning

Are you willing to become a researcher in machine learning, and do you want to contribute to shaping the future of data science techniques and applications with an eye on society? Then Vrije Universiteit Amsterdam would like to get to know you.

Your function

We are looking for a new PhD student who will do research in the area of machine learning (ML) and in particular on reinforcement learning (RL) and the application of these techniques in a large health project (CAREPATH). The EU funded CAREPATH project focuses on improving medication adherence and persistence for patients with chronic conditions across six European countries. The position is embedded in the Quantitative Data Analytics (QDA) group of the VU in close collaboration with the Amsterdam University Medical Center and companies developing the interventions tools. The QDA group focuses on both fundamental and application-driven research in ML while the Amsterdam University Medical Center has a wealth of experience in applying complexity science to health intervention development. We are looking for candidates with experience in the area of machine learning, with a special preference for those having expertise in one or more of the following areas: reinforcement learning, the utilization of domain knowledge in ML, and data efficient ML methods. We are interested in attracting a PhD student that is able to perform ground-breaking research in fundamental aspects of machine learning and reinforcement learning, with a willingness to deploy the models in real-life applications.. The goal within the project is to apply the developed algorithms in an app and use them to personalize medication adherence interventions.

Your duties

  • Perform research in machine learning and publish in top ML conferences
  • Develop and deploy reinforcement learning algorithms for personalization in the CAREPATH app
  • Work with multidisciplinary teams across the six pilot countries, including academic and industry partners
  • Contribute to teaching activities and supervise Bachelor/Master students (20% of time)
  • Help evaluate algorithm effectiveness in real-world healthcare settings

Your profile

Requirements

  • Master's degree in an area relevant to machine learning
  • Strong programming skills with experience in PyTorch
  • Experience in machine learning, particularly reinforcement learning
  • Familiarity with healthcare applications or willingness to learn healthcare data standards
  • Ability to work both independently and collaboratively
  • Excellent communication skills for this international consortium
  • Enthusiasm for applying RL to drive meaningful health behavior change

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.

What do we offer?

A challenging position in a socially engaged organisation. At VU Amsterdam, you contribute to education, research and service for a better world. And that is valuable. So in return for your efforts, we offer you:

  • a salary of € 2.901,00 (PhD) and maximum € 3.707,00 (PhD) gross per month in the fourth year, for a full-time employment
  • an employment contract of initially 18 months. If there is sufficient perspective, this will be extended to a total of 4 years. Your dissertation at the end of the fourth year forms the end of your employment contract.
  • The position is vacant for at least 0.8 FTE.

We also offer you attractive fringe benefits and arrangements. 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

About us

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 6,150 staff work at the VU and over 31,000 students attend academic education.

Diversity
Diversity is the driving force of VU Amsterdam. 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.

We want to develop talent and creativity by bringing together people from different backgrounds and cultures. We recruit and select based on competencies and talents. We therefore encourage anyone who recognizes themselves in a vacancy, regardless of age, gender, origin, religion, philosophy of life, orientation, disability or chronic illness, to respond. Candidates with a jobs agreement indication (“doelgroepregistratie”) will be given priority if suitable. For these candidates applies:

- A PhD candidate with a registration (“doelgroepregister”) may apply for a minimum of 0.7 fte
- An extra supervisor is available for PhD students with target group registration and their supervisors.

Interested

Are you interested in this position and do you believe that your experience will contribute to the further development of our university? In that case, we encourage you to submit your application.
Please apply via the ‘Apply” link on or before 30 April 2025:

Relocation support
If you have any questions regarding moving to Amsterdam, and working at VU Amsterdam, you may contact:
E-mail:          [email protected]

Applications received by e-mail will not be considered.

Acquisition in response to this advertisement is not appreciated.

Your function

We are looking for a new PhD student who will do research in the area of machine learning (ML) and in particular on reinforcement learning (RL) and the application of these techniques in a large health project (CAREPATH). The EU funded CAREPATH project focuses on improving medication adherence and persistence for patients with chronic conditions across six European countries. The position is embedded in the Quantitative Data Analytics (QDA) group of the VU in close collaboration with the Amsterdam University Medical Center and companies developing the interventions tools. The QDA group focuses on both fundamental and application-driven research in ML while the Amsterdam University Medical Center has a wealth of experience in applying complexity science to health intervention development. We are looking for candidates with experience in the area of machine learning, with a special preference for those having expertise in one or more of the following areas: reinforcement learning, the utilization of domain knowledge in ML, and data efficient ML methods. We are interested in attracting a PhD student that is able to perform ground-breaking research in fundamental aspects of machine learning and reinforcement learning, with a willingness to deploy the models in real-life applications.. The goal within the project is to apply the developed algorithms in an app and use them to personalize medication adherence interventions.

Your duties

  • Perform research in machine learning and publish in top ML conferences
  • Develop and deploy reinforcement learning algorithms for personalization in the CAREPATH app
  • Work with multidisciplinary teams across the six pilot countries, including academic and industry partners
  • Contribute to teaching activities and supervise Bachelor/Master students (20% of time)
  • Help evaluate algorithm effectiveness in real-world healthcare settings

Your profile

Requirements

  • Master's degree in an area relevant to machine learning
  • Strong programming skills with experience in PyTorch
  • Experience in machine learning, particularly reinforcement learning
  • Familiarity with healthcare applications or willingness to learn healthcare data standards
  • Ability to work both independently and collaboratively
  • Excellent communication skills for this international consortium
  • Enthusiasm for applying RL to drive meaningful health behavior change

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.

What do we offer?

A challenging position in a socially engaged organisation. At VU Amsterdam, you contribute to education, research and service for a better world. And that is valuable. So in return for your efforts, we offer you:

  • a salary of € 2.901,00 (PhD) and maximum € 3.707,00 (PhD) gross per month in the fourth year, for a full-time employment
  • an employment contract of initially 18 months. If there is sufficient perspective, this will be extended to a total of 4 years. Your dissertation at the end of the fourth year forms the end of your employment contract.
  • The position is vacant for at least 0.8 FTE.

We also offer you attractive fringe benefits and arrangements. 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

About us

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 6,150 staff work at the VU and over 31,000 students attend academic education.

Diversity
Diversity is the driving force of VU Amsterdam. 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.

We want to develop talent and creativity by bringing together people from different backgrounds and cultures. We recruit and select based on competencies and talents. We therefore encourage anyone who recognizes themselves in a vacancy, regardless of age, gender, origin, religion, philosophy of life, orientation, disability or chronic illness, to respond. Candidates with a jobs agreement indication (“doelgroepregistratie”) will be given priority if suitable. For these candidates applies:

- A PhD candidate with a registration (“doelgroepregister”) may apply for a minimum of 0.7 fte
- An extra supervisor is available for PhD students with target group registration and their supervisors.

Questions about the vacancy?

Please contact

Dr. Aneta Lisowska

Assistant Professor AI and Health

Interested

Are you interested in this position and do you believe that your experience will contribute to the further development of our university? In that case, we encourage you to submit your application.
Please apply via the ‘Apply” link on or before 30 April 2025:

Relocation support
If you have any questions regarding moving to Amsterdam, and working at VU Amsterdam, you may contact:
E-mail:          [email protected]

Applications received by e-mail will not be considered.

Acquisition in response to this advertisement is not appreciated.

Questions about the vacancy?

Please contact

Dr. Aneta Lisowska

Assistant Professor AI and Health

Application procedure

Don't miss out on your dream job at VU Amsterdam