The position is embedded in the 10 year Hybrid Intelligence (HI) project, a collaboration between six universities in the Netherlands.
The Hybrid Intelligence centre (HI) aims at creating methods and systems that combine human and machine intelligence, expanding human intellect instead of replacing it. HI systems place humans and their values at the centre, changing the course of the ongoing AI revolution.
This project aims to endow learning robots with the ability to learn more efficiently with the help of human interaction at multiple levels of abstraction (e.g., task vs. motion level) as well as different types of teaching signals (demonstrations, corrections, evaluation, etc.). The candidate will collaborate closely with the robot-assisted surgery team of the HI consortium, including the Erasmus Medical Center in Rotterdam.
Your duties
The candidate will investigate novel interactive robot learning techniques for learning from flexible human feedback. The research will involve the following three aspects:
a) developing novel interactive learning algorithms based on state-of-the-art reinforcement learning techniques, targeting interactive robots and with a focus on assistive perception and collaborative manipulation, partially in the context of robot-assisted surgery.
b) conducting controlled user studies in simulation and in situ to test the developed algorithms in real interactions with humans. Most of the experimental work will be conducted on the Franka Emika robot.
c) extensively collaborating with the supervisory team and the relevant members of the consortium at large.
d) disseminating research outcomes through conference and journal publications, as well as workshops at relevant venues such as HRI, CoRL, IROS, ICRA, ICML, AAMAS, …
The candidate will be supervised jointly by Dr. Kim Baraka (Social AI group, VU Amsterdam), Dr. Herke van Hoof (Amsterdam Machine Learning Lab, University of Amsterdam). The position is embedded in the Hybrid Intelligence centre (https://www.hybrid-intelligence-centre.nl/), hence adaptivity to work in a heterogeneous team and consortium, creativity and interest in multi-disciplinary research are fundamental. The candidate will be mainly based at VU Amsterdam, but will be expected to actively collaborate with the Amsterdam Machine Learning Lab at University of Amsterdam, and the HI consortium at large.
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.
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:
We also offer you attractive fringe benefits and regulations. Some examples:
About the department
The VU Department of Computer Science has approximately 200 staff members, including approximately 110 PhD students. Lecturers form a critical and essential basis for the functioning of the department, providing foundational education that helps determine the future of our students. The position is embedded in the Hybrid Intelligence centre (https://www.hybrid-intelligence-centre.nl/), a 10 year project in which six universities in the Netherlands collaborate (funded by the NWO Zwaartekracht program).
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.
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 application button before 15/06/2023. Please include in your application a short motivation letter specifically highlighting any experience in machine learning, robotics and/or conducting users studies, your CV, and (optionally, but recommended) a 1 page statement about your previous research. Please also include the names and contact details of two people who would be able to provide a short recommendation if needed.
Note that this job opening is one of several job openings on the HI page with job openings. You can apply to more than just this one. If you do so, please inform the Hybrid Intelligence Centre’s Project Manager via email of the projects you are applying to.
We strongly encourage female or gender nonbinary individuals, as well as people from marginalized groups or minorities to apply. We aim to create hybrid intelligence for everyone, see also our Diversity Statement. To do this, we need an inclusive and diverse team of researchers.
Vacancy questions
If you have any questions regarding this vacancy, you may contact:
Name: Dr. Ir. Kim Baraka, Dr. Herke van Hoof
Position: Assistant Professor; Associate Professor
E-mail: [email protected]; [email protected]
For more information regarding moving to Amsterdam, and working at VU Amsterdam, please check: https://workingat.vu.nl/international-staff
Applications received by e-mail will not be considered.
Acquisition in response to this advertisement is not appreciated.
The position is embedded in the 10 year Hybrid Intelligence (HI) project, a collaboration between six universities in the Netherlands.
The Hybrid Intelligence centre (HI) aims at creating methods and systems that combine human and machine intelligence, expanding human intellect instead of replacing it. HI systems place humans and their values at the centre, changing the course of the ongoing AI revolution.
This project aims to endow learning robots with the ability to learn more efficiently with the help of human interaction at multiple levels of abstraction (e.g., task vs. motion level) as well as different types of teaching signals (demonstrations, corrections, evaluation, etc.). The candidate will collaborate closely with the robot-assisted surgery team of the HI consortium, including the Erasmus Medical Center in Rotterdam.
Your duties
The candidate will investigate novel interactive robot learning techniques for learning from flexible human feedback. The research will involve the following three aspects:
a) developing novel interactive learning algorithms based on state-of-the-art reinforcement learning techniques, targeting interactive robots and with a focus on assistive perception and collaborative manipulation, partially in the context of robot-assisted surgery.
b) conducting controlled user studies in simulation and in situ to test the developed algorithms in real interactions with humans. Most of the experimental work will be conducted on the Franka Emika robot.
c) extensively collaborating with the supervisory team and the relevant members of the consortium at large.
d) disseminating research outcomes through conference and journal publications, as well as workshops at relevant venues such as HRI, CoRL, IROS, ICRA, ICML, AAMAS, …
The candidate will be supervised jointly by Dr. Kim Baraka (Social AI group, VU Amsterdam), Dr. Herke van Hoof (Amsterdam Machine Learning Lab, University of Amsterdam). The position is embedded in the Hybrid Intelligence centre (https://www.hybrid-intelligence-centre.nl/), hence adaptivity to work in a heterogeneous team and consortium, creativity and interest in multi-disciplinary research are fundamental. The candidate will be mainly based at VU Amsterdam, but will be expected to actively collaborate with the Amsterdam Machine Learning Lab at University of Amsterdam, and the HI consortium at large.
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.
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:
We also offer you attractive fringe benefits and regulations. Some examples:
About the department
The VU Department of Computer Science has approximately 200 staff members, including approximately 110 PhD students. Lecturers form a critical and essential basis for the functioning of the department, providing foundational education that helps determine the future of our students. The position is embedded in the Hybrid Intelligence centre (https://www.hybrid-intelligence-centre.nl/), a 10 year project in which six universities in the Netherlands collaborate (funded by the NWO Zwaartekracht program).
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.
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 application button before 15/06/2023. Please include in your application a short motivation letter specifically highlighting any experience in machine learning, robotics and/or conducting users studies, your CV, and (optionally, but recommended) a 1 page statement about your previous research. Please also include the names and contact details of two people who would be able to provide a short recommendation if needed.
Note that this job opening is one of several job openings on the HI page with job openings. You can apply to more than just this one. If you do so, please inform the Hybrid Intelligence Centre’s Project Manager via email of the projects you are applying to.
We strongly encourage female or gender nonbinary individuals, as well as people from marginalized groups or minorities to apply. We aim to create hybrid intelligence for everyone, see also our Diversity Statement. To do this, we need an inclusive and diverse team of researchers.
Vacancy questions
If you have any questions regarding this vacancy, you may contact:
Name: Dr. Ir. Kim Baraka, Dr. Herke van Hoof
Position: Assistant Professor; Associate Professor
E-mail: [email protected]; [email protected]
For more information regarding moving to Amsterdam, and working at VU Amsterdam, please check: https://workingat.vu.nl/international-staff
Applications received by e-mail will not be considered.
Acquisition in response to this advertisement is not appreciated.
Wij, en derde partijen, maken op onze website gebruik van cookies. Wij gebruiken cookies om ervoor te zorgen dat onze website goed functioneert, om jouw voorkeuren op te slaan, om inzicht te verkrijgen in bezoekersgedrag, maar ook voor marketing en social media doeleinden (laten zien van gepersonaliseerde advertenties). Door op ‘Accepteren’ te klikken, ga je akkoord met het gebruik van alle cookies. In onze Cookieverklaring kun je meer lezen over de cookies die wij gebruiken en kun je jouw voorkeuren opslaan of wijzigen. Door ‘Weigeren’ te klikken ga je alleen akkoord met het gebruik van functionele cookies.