Research Associate in the Sensorimotor Augmentation for Human-Robot Collaboration

The University of Manchester
Whitehaven
1 year ago
Applications closed

Related Jobs

View all jobs

Postdoctoral Research Associate in Statistical Genetics and Machine Learning (Fixed Term)

Postdoctoral Research Associate in Statistical Genetics and Machine Learning (Fixed Term)

Research Associate (Data Science) (Fixed Term)

Research Assistant/Associate in Cardiac Computational Modelling via Machine Learning and Biomechanics Simulations

Research Associate – Artificial Intelligence in Cardiac MRI

Research Associate, Research Fellow and PhD positions in Machine Learning, Manchester Centre fo[...]

We are looking for a full-time post-doctoral research associate to investigate human-robot collaboration to explore unstructured environments for inspection, repair, and maintenance. You will conduct research on designing artificial feedback to humans, whether they are remotely operating a robot or collaborating closely with one in a proximal setting. The robot’s perception about surroundings through multi-sensory feedback will be transmitted naturally to human operators to augment their situational awareness and facilitate their motor control. You will work with physical robot platforms and develop a feedback interface integrating human natural sensory and robot’s artificial information. This will encompass mechatronics design, system integration, robotic control, computer vision algorithms, and conducting user studies. You will be expected to publish at world-leading refereed conferences and journals, and demonstrate research outcomes on real robot platforms.

The role will also require regular contributions to a variety of academic tasks, including positively interacting and communicating with internal and external stakeholders, developing research proposals, management of research projects, supervising PhD, Master and undergraduate students, demonstrating research excellence and leadership to more junior members in the research lab.

Key Responsibilities

Main Duties:

Develop feedback interface to transmit useful information that is beyond human natural sensory channels. Design robot environment perception algorithms with multi-sensory feedback. Investigate optimal form of sensory feedback for human-robot collaborative exploration of unstructured environments. Develop robotic navigation and control algorithms. Implement algorithms into robotic systems for real-time execution. Work on the project deliverables through independent research and joint collaboration. Publish at world-leading refereed conferences and journals. Actively participate in the research programme of the Lab. Conduct and plan own scientific work proactively with appropriate supervision. Maintain accurate and complete records of all findings and experimental work, and full backup of research resources in the Lab facilities.

Other Duties:

Direct the work of small research teams. Ensure the validity and reliability of research results and data. Write reports for submission to stakeholders. Present findings to colleagues and at relevant workshops and conferences as necessary. Develop contacts and research collaborations within the University and the international partners. Assist in the supervision of undergraduate and postgraduate research students and other lab members as required. Contribute to bids for research grants. Participate in Lab research meetings and internal seminars. Undertake any necessary training, safety courses and/or development. Undertake appropriate administration tasks. Contribute to the smooth running of the Lab’s facilities with other researchers, technicians and students.

Location and Facility: 

The successful applicant will join in The University of Manchester’s team at RAICo One Facility in West Cumbria. The applicant will have a unique opportunity to work in close partnership with robotics, control and AI experts from the University of Manchester, Sellafield Ltd and the UK Atomic Energy Authority, applying their knowledge and research work into real applications. RAICo One is a fully equipped robotics laboratory with state-of-the-art robotic research and development facilities including a wide range of robotic systems and robot test arenas.

This post is offered on a 2-year fixed-term appointment with potential extension.

The closing date for applications is: 08/12/2024. 

What you will get in return:

Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts at a range of major retailers

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.