Machine Learning for Human Behaviour Analysis
Applications are invited for a Research Associate (PostDoc) or Research Assistant (RA) to join the Affective Intelligence and Robotics Lab in the Department of Computer Science and Technology, at the University of Cambridge, UK (The Cambridge AFAR Lab: https://cambridge-afar.github.io/). The Research Associate / Research Assistant will work closely with another postdoc as well as several students and/or collaborators on the development of machine learning methodologies for human behaviour analysis and understanding that facilitate adaptive and personalised human-AI interactions (e.g., human-agent and/or human-robot interactions).
The ideal candidate will possess hands-on experience with designing and implementing deep learning models and architectures, and/or reinforcement learning algorithms, and deploying them for real-world applications or real-time analysis of human behaviours. The Cambridge AFAR Lab focuses on developing novel machine learning and human-robot interaction frameworks and deploying them in real-world settings. Therefore, we require someone with excellent implementation skills, and experience with real time and real-world deployments. A very good (and relevant) publication record in Machine Learning for human behaviour understanding, HRI/robotics, or a closely related research area; as well as a high degree of self-motivation, research-oriented thinking, and a drive for creating systems to run in real-time and in the real-world are all essential traits for this position.
It is desirable that the candidate has experience using Large Language Models (LLMs) for research and/or user studies, and/or experience undertaking HRI user studies, ideally related to health and wellbeing.
If applicants require further information, they should contact Professor Hatice Gunes (http://www.cl.cam.ac.uk/~hg410/).
Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.
The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology, and mathematics. We have a world-wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University. Please follow the link at: https://www.cst.cam.ac.uk to find out more about our Department.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Please note that we provide the support of applying for the relevant visa (if required) and we reimburse the cost of the first visa.
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Fixed-term: The funds for this post are available for 12 months. The post starting date will be the 1 March 2024.
Required documents include a cover letter, a curriculum vitae, a brief research statement, and contact information for two references. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please quote reference NR39440 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.