We are seeking a motivated and collaborative individual to join our team as a Research Associate in Multi-Array Sensing System for Non-Ferrous Obscured Waste (MASSNOW). This role offers an exciting opportunity to contribute to the development of a real-time vision system (RGB+NIR) for recognising or differentiating common shapes in scrap metal, followed by integrating multimodal information (magnetic and vision) for optimal detection, within a dynamic and inclusive environment.
You will be responsible for:
- Developing short-to-medium term research objectives and work plans for the project under the original proposal, with the assistance of supervisors.
- Conducting individual and collaborative research and system development for the project.
- Translate knowledge of advances in the subject area into research activity.
- Pro-actively engage with industry to understand sector needs and identify opportunities for impact.
We welcome candidates who bring diverse perspectives, experiences, and approaches to their work.
About You
We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate:
Essential Criteria:
- Have relevant background or experience in engineering and software development.
- Experience in research methods and techniques to work within established research programmes.
Desirable Criteria:
- Knowledge and skills in imaging or image processing
- knowledge and skills in Python and C/C++ programming on GPUs
We value transferable skills and real-world experience as much as formal qualifications.
Our benefits include:
- Generous employer contribution pension
- 29 days annual leave plus bank holidays, along with Christmas closure
- Ride to work and EV car scheme available
For more information, please see University of Manchester Benefits. You can also find information on our Flexible and Hybrid working here.
We are an open place of enquiry and challenge. We embrace and celebrate difference, diversity and debate, and we pride ourselves on being a place of education, learning and community where we are able, within the law, to question and test received wisdom, express new ideas and explore controversial or unpopular topics and opinions. Find out more from our Freedom of Speech Policy.
Enquiries about the role, shortlisting and interviews
Name: Michael O'Toole
Email Address: [email protected]
Name: Prof. Hujun Yin
Email Address: [email protected]
General enquiries and administrative support
Technical and job portal support
https://jobseekersupport.jobtrain.co.uk/support/home
This role is not eligible for Skilled Worker visa sponsorship. Applicants must demonstrate the right to work in the UK.
Applications close at midnight on the closing date.
Further particulars (with person specification) linked below.