At a Glance
- Tasks: Support the development of an AI platform for product triage and value recovery.
- Company: Join the University of Birmingham's innovative Mechanical Engineering team.
- Benefits: Earn £16.92 per hour plus holiday entitlement while gaining valuable experience.
- Other info: Flexible part-time role with opportunities for growth and learning.
- Why this job: Make a real impact in circular manufacturing and AI technology.
- Qualifications: Good Python skills and interest in AI/ML or robotics required.
The predicted salary is between 30000 - 40000 € per year.
This project supports the design and development of an AI‑based platform for product triage and value recovery. The work is aligned with circular manufacturing and will contribute to a practical demonstrator combining image-based analysis, decision support and structured outputs.
The postholder will support the development of a prototype multi‑agent AI platform for product identification, condition assessment, valuation and triage. The role will focus on practical implementation tasks such as data preparation, prototyping, coding, testing, interface or dashboard development, and documenting progress and results.
Main Duties:
- Support the design and implementation of a prototype multi‑agent AI platform.
- Assist with image-based product identification, condition assessment and triage workflows.
- Contribute to coding, testing and integration activities in Python and related tools.
- Develop dashboards, interfaces or structured outputs for presenting decisions and evidence.
- Document methods, results and progress, and support preparation of brief reports or presentation material.
Required Knowledge, Skills, Qualifications & Experience:
- Good practical skills in Python programming and rapid prototyping.
- Some experience in AI/ML, computer vision, agent-based systems, dashboard or interface development.
- Ability to work independently on a defined task while reporting progress clearly.
- Good written and verbal communication skills.
- An interest in robotics, circular manufacturing, decision-support systems, or industrial AI applications.
Further Details:
The hours for this position will be 0.4 FTE.
Eligibility:
You are only eligible to apply to this role if you are a current University of Birmingham student. The University of Birmingham restricts all students to working up to 20 hours per week during term time for a maximum of 13 consecutive weeks.
Student Casual – Research Assistant – Mechanical Engineering – Grade 6 – 907335 in Birmingham employer: University of Birmingham
The University of Birmingham offers a dynamic and supportive work environment for students, particularly in the role of Research Assistant within the Mechanical Engineering department. With a focus on innovative projects like AI-based platforms for circular manufacturing, employees benefit from hands-on experience, mentorship, and opportunities for professional growth. The university's commitment to fostering a collaborative culture ensures that students can thrive while contributing to meaningful research.
StudySmarter Expert Advice🤫
We think this is how you could land Student Casual – Research Assistant – Mechanical Engineering – Grade 6 – 907335 in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your professors, classmates, or even alumni who are in the field of mechanical engineering. They might have insider info on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI, Python programming, and prototyping. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to your role. Be ready to discuss your experience with coding, AI, and any relevant projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Student Casual – Research Assistant – Mechanical Engineering – Grade 6 – 907335 in Birmingham
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight your skills in Python programming and any relevant experience in AI or computer vision. We want to see how your background aligns with the role, so don’t hold back!
Show Your Passion:Let us know why you’re interested in robotics and circular manufacturing. A genuine enthusiasm for the field can really make your application stand out, so share your thoughts and ideas!
Be Clear and Concise:When documenting your methods and results, keep it straightforward. We appreciate clarity, so make sure your writing is easy to follow and gets straight to the point.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at University of Birmingham
✨Know Your Stuff
Make sure you brush up on your Python programming skills and any relevant AI/ML concepts. Be ready to discuss your experience with coding, prototyping, and any projects you've worked on that relate to image-based analysis or dashboard development.
✨Show Your Passion
Express your interest in robotics and circular manufacturing during the interview. Companies love candidates who are genuinely excited about the field, so share any personal projects or experiences that highlight your enthusiasm for industrial AI applications.
✨Prepare for Practical Questions
Expect some technical questions or practical tasks related to the role. Practice explaining your thought process when tackling problems, especially around data preparation and testing. This will show your ability to work independently while keeping communication clear.
✨Document Your Achievements
Be ready to talk about how you've documented your progress in past projects. Whether it's reports, presentations, or dashboards, having examples of how you communicate results can set you apart from other candidates.
