PhD: Multiscale Control for Stable Large-Scale AM in Manchester

PhD: Multiscale Control for Stable Large-Scale AM in Manchester

Manchester Trainee 21805 - 21805 £ / year (est.) No working from home possible
The University of Manchester

At a Glance

  • Tasks: Develop a control-oriented learning framework for quality regulation in large-scale Additive Manufacturing.
  • Company: The University of Manchester, a leading research institution.
  • Benefits: Fully funded PhD with a tax-free stipend of £21,805 and covered tuition fees.
  • Other info: Exciting opportunity to contribute to innovative research starting October 2026.
  • Why this job: Join a cutting-edge research project and tackle real-world challenges in Additive Manufacturing.
  • Qualifications: UK 2.1 honours degree in relevant fields; CAD/CAM and robotics experience is a plus.

The predicted salary is between 21805 - 21805 £ per year.

The University of Manchester offers a fully funded 3.5-year PhD project in Additive Manufacturing starting October 2026. The successful candidate will receive an annual tax-free stipend of £21,805 and have tuition fees covered.

This research involves developing a control-oriented learning framework for quality regulation in large-scale AM, addressing key challenges in process stability and geometric errors.

Applicants should have a UK 2.1 honours degree in relevant fields. Experience in CAD/CAM and robotics is advantageous.

To apply, contact Dr. Kun Qian at kun.qian@manchester.ac.uk with your academic background and motivation.

PhD: Multiscale Control for Stable Large-Scale AM in Manchester employer: The University of Manchester

The University of Manchester is an exceptional employer, offering a vibrant academic environment that fosters innovation and collaboration. With fully funded PhD opportunities, competitive stipends, and comprehensive support for research, the university prioritises employee growth and development, making it an ideal place for aspiring researchers in the field of Additive Manufacturing.

The University of Manchester

Contact Details:

The University of Manchester Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land PhD: Multiscale Control for Stable Large-Scale AM in Manchester

Tip Number 1

Network like a pro! Reach out to current PhD students or faculty members at the University of Manchester. They can give you insider info about the programme and might even put in a good word for you.

Tip Number 2

Prepare for an informal chat! If you get the chance to speak with Dr. Kun Qian, be ready to discuss your passion for Additive Manufacturing and how your background fits into the project. Show enthusiasm and knowledge!

Tip Number 3

Don’t just send your CV; make it personal! When you contact Dr. Qian, tailor your message to highlight your relevant experience in CAD/CAM and robotics. Make it clear why you’re the perfect fit for this PhD.

Tip Number 4

Stay proactive! Keep an eye on the University’s website for any updates on the application process. Applying through our website can give you a better chance of being noticed!

We think you need these skills to ace PhD: Multiscale Control for Stable Large-Scale AM in Manchester

Control-Oriented Learning Framework
Quality Regulation in Additive Manufacturing
Process Stability
Geometric Error Analysis
CAD/CAM Experience
Robotics Knowledge
Research Skills

Some tips for your application 🫡

Show Your Passion:When you write your application, let your enthusiasm for Additive Manufacturing shine through! We want to see why this project excites you and how it aligns with your career goals.

Tailor Your CV:Make sure your CV highlights relevant experience, especially in CAD/CAM and robotics. We’re looking for candidates who can demonstrate their skills and how they relate to the PhD project.

Craft a Compelling Motivation Letter:Your motivation letter is your chance to tell us why you’re the perfect fit for this PhD. Be clear about your academic background and how it prepares you for tackling the challenges in process stability and geometric errors.

Reach Out to Dr. Kun Qian:Don’t hesitate to contact Dr. Kun Qian at the provided email. Ask any questions you have about the project or express your interest. It shows initiative and helps us get to know you better!

How to prepare for a job interview at The University of Manchester

Know Your Stuff

Make sure you’re well-versed in the specifics of additive manufacturing and control systems. Brush up on your CAD/CAM and robotics knowledge, as these are key areas for the role. Being able to discuss relevant projects or experiences will show your passion and expertise.

Showcase Your Motivation

When you reach out to Dr. Kun Qian, be clear about why this PhD project excites you. Share your academic background and how it aligns with the research goals. A genuine enthusiasm for the subject can set you apart from other candidates.

Prepare for Technical Questions

Expect questions that dive deep into your understanding of process stability and geometric errors in large-scale AM. Practise explaining complex concepts in simple terms, as this demonstrates both your knowledge and your ability to communicate effectively.

Ask Insightful Questions

At the end of the interview, have a few thoughtful questions ready about the project or the team. This shows your interest and helps you gauge if the environment is the right fit for you. It’s also a great way to engage with the interviewer and leave a lasting impression.