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The ARL lab is a world leader in research related to XR and intelligent advanced human-machine interfaces, and takes part in national and international projects. We are working on both basic research with high academic impact as well as applied projects with real world impact.
The lab specializes in XR and collaborates with top scientists, both local and internationally, in the areas of machine learning, psychology, and neuroscience. Our lab has a large variety of XR devices and facilities as well as servers for deep learning.
Most positions allow flexibility in combining work from home with work on campus.
We are seeking one or more individuals to work on deep RL for GuestXR – a 4-year EU project starting Jan 2022. The project brings together fundamental challenges in ‘AI’ and deep RL, applied for social intelligence in multi-user XR environments. We are seeking researchers to work on the deep RL part, who will eventually integrate their results with other researchers working in various XR environments, or with neuroscientific and behavioral human research.
Responsibilities:
In collaboration with your advisers and a diverse multi-disciplinary international team, solve ambitious research challenges and translate your results into actionable insights that are relevant to applications in XR applications and beyond.
Write research code to test new approaches or develop novel theoretical and practical insights.
Distil the developed insights into effective communications, such as research papers and presentations, to reach internal and external technical and general audiences.
Qualifications:
PhD in reinforcement learning, game AI, or a related area, or equivalent experience (for PhD candidates: a relevant MSc thesis).
Ability to carry out state-of-the-art research, demonstrated by a publication at a top conference or journal.
Strong understanding of state-of-the-art deep learning and/or reinforcement learning (ideally deep reinforcement learning).
Hands-on experience in implementing and empirically evaluating deep learning or reinforcement learning approaches or related techniques, and/or experimentation infrastructure.
Effective communication skills and ability to work in a multi-disciplinary, diverse, and collaborative environment.
Experience in solving deep research challenges.
We are looking for research programmers to join us in exciting projects combining virtual and augmented reality and “AI”. Undergraduate students with programming experience in Unity and Python are welcome to apply.
Flexible hours, at least 30% position.
Projects combine state of the art in XR (Unity, Oculus, motion capture, Hololens-2 and more) and machine learning (both 3rd party and lab developed tools, based on ‘deep networks’, for speech and animation generation).
