Research Assistant or Associate to develop Conversational Agents for Human-Robot Interaction

Imperial Enterprise

Greater London

Hybrid

GBP 36.000 - 60.000

Vollzeit

vor 18 Stunden
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Benefits dieser Stelle

43 days off a year
Hybrid working
World-leading institution

Zusammenfassung

Imperial College London’s Biomechatronics Laboratory invites applications for a Research Assistant or Associate to develop conversational agents for human-robot interaction in dementia research.

The role blends data science, mechatronics, AI and signal processing to create social robots and wearable systems that support independence, wellbeing and psychosocial engagement in healthcare settings. Hybrid working is possible.

Qualifikationen

  • PhD (or close to completing) in Computer Science, Mechanical/Electrical Engineering or related discipline
  • Experience in signal processing, programming, and/or neurorobotics
  • Experience testing and deploying social robots and/or intelligent voice agents
  • Knowledge of neurorobotics and voice agents
  • Desirable: app development and programming in Python and C/C++

Aufgaben

  • Collaborate with psychiatrists, neurologists and engineers to develop robot behaviour and conduct human-robot interface experiments
  • Develop a conversational agent to encourage psychosocial interactions with dementia patients
  • Collect and analyze behavioural, movement and wellbeing data to inform interventions

Kenntnisse

Data Science
Mechatronics
Clinical Data Collection
Artificial Intelligence
Human-Robot Interaction
Neurorobotics
Signal Processing
Natural Language Processing
Wearable Systems
Python
C/C++

Ausbildung

PhD in Computer Science / Engineering or related field

Tools

Python
C
C++

Jobbeschreibung

Research Assistant or Associate to develop Conversational Agents for Human-Robot Interaction

The Biomechatronics Laboratory at Imperial College London ( https://www.biomechatronicslab.co.uk ) is looking to appoint a researcher to support the development of social robotics, natural language processing (NLP), wearable systems, and machine learning technologies in the context of dementia research and healthcare applications.

You will combine machine learning, mechatronic fabrication, artificial intelligence (AI), and signal processing to develop technologies that support independence, safety, wellbeing, and psychosocial engagement for people living with dementia. Your research will include the collection and analysis of behavioural, movement, and wellbeing data to inform innovative preventative care interventions.

We are looking for a researcher with a track record in Data Science, Mechatronics, Clinical Data Collection, and Artificial Intelligence (AI). This represents a unique opportunity for a researcher with experience in human-robot interaction, neural recording, stimulation, signal processing, natural language processing, and wearable systems.

Interested applicants may wish to review the below publications, which go into greater detail about the work that we do:

  • You will collaborate with psychiatrists, neurologists and engineers to develop robot behaviour, conducting human-robot interface experiments to map voice activity in response to robotic engagement.
  • You will develop a conversational agent to encourage psychosocial interactions with dementia patients.
What we are looking for
  • You should have a PhD (or close to completing), in Computer Science, Mechanical Engineering, Electrical Engineering or a closely related discipline, or equivalent research, industrial or commercial experience.
  • Practical experience in a signal processing, programming, and/or neurorobotics is essential.
  • You should have experience in testing and deployment of social robots and/or intelligent voice agents.
  • You must hold knowledge of neurorobotics and voice agents.
  • Knowledge in app development and computer programming such as Python and C, C++ is desirable.
What we can offer you
  • The opportunity to continue your career at a world-leading institution
  • Sector-leading salary and remuneration package (including 43 days off a year)
Further information

This position is fixed term and is expected to run for up to 20 months (in the first instance).

Hybrid working may be considered for this role. Staff working in roles that are suitable for hybrid working will normally be expected to work 60% of their time onsite. The opportunity for hybrid working will be discussed at interview.

Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert before the stated closing date, should we receive a high volume of applications.

About Imperial

Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, eliminating discrimination, and creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our web pages .

Proud signatory of the Armed Forces Covenant. We welcome applications from the Armed Forces community.

Our values are at the root of everything we do, and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.

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