PhD Opportunity: AI-Enhanced Sustainability: Driving Net-Zero Targets in Advanced Manufacturing[...]
PhD Opportunity: AI-Enhanced Sustainability: Driving Net-Zero Targets in Advanced Manufacturing[...]

PhD Opportunity: AI-Enhanced Sustainability: Driving Net-Zero Targets in Advanced Manufacturing[...]

Coventry Full-Time 36000 - 60000 £ / year (est.) No home office possible
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FindAPhD

At a Glance

  • Tasks: Conduct innovative research integrating AI with sustainability in advanced manufacturing.
  • Company: Join the Manufacturing Technology Centre, a leader in UK manufacturing innovation.
  • Benefits: Enjoy a collaborative environment at a top 100 global university with excellent facilities.
  • Why this job: Make a real impact on sustainability while working with cutting-edge technology and brilliant minds.
  • Qualifications: Must have a relevant degree; experience in AI, data analysis, or sustainability is a plus.
  • Other info: Applications close on 28th February 2025; PhD starts on 1st October 2025.

The predicted salary is between 36000 - 60000 £ per year.

This project is an exciting opportunity to undertake industrially linked research in partnership with the Manufacturing Technology Centre (MTC). It is based within the Sustainable Manufacturing Group, School of Engineering, University of Birmingham.

The PhD Project

This interdisciplinary PhD project aims to pioneer the integration of Artificial Intelligence (AI) with Life Cycle Analysis (LCA) to drive innovation in Advanced Manufacturing Technology. The research will utilise AI’s potential as a tool and solution to improve process efficiency, assess the lifecycle impact, and reduce the environmental effect, informing the development of environmentally responsible and resource-efficient solutions. This project offers an exciting opportunity to make a significant impact in the area of sustainable advanced manufacturing by working at the intersection of AI, sustainability, and technology.

Who we are looking for

  1. A first or upper-second-class degree or a Master’s degree in a relevant discipline such as, computer science, industrial engineering, environmental science, data science, or any related field with a strong focus on artificial intelligence, sustainability, or advanced technologies.
  2. Experience in quantitative modelling and computer programming is desirable.
  3. Experience or interest in machine learning, AI algorithms, or data analysis.
  4. Familiarity with sustainability assessment methods, such as Life Cycle Analysis (LCA), is desirable but not essential.
  5. Ability to produce high-quality presentations and written reports.

The MTC is an independent Research and Technology Organisation (RTO) aimed at de-risking and accelerating the adoption of disruptive technologies within the UK manufacturing sphere. Supported by the UK government, the MTC works closely with industrial partners and other research organisations to deliver world leading innovation across all levels of the UK’s industrial landscape, from SMEs and start-ups to OEMs and large-scale global manufacturers. For more information please visit the MTC website.

As a researcher at Birmingham, you will benefit from working in an environment in which excellence and innovation are made possible by brilliant people, outstanding facilities and strong collaborative networks. You will be joining a global top 100 university tackling some of the biggest issues the world faces, making a difference to people\’s lives on a daily basis. Within this nurturing academic community, you will be able to contribute to shaping and changing lives. The University Graduate School supports Birmingham’s postgraduate researcher (PGR) and postgraduate taught (PGT) community. We foster an interdisciplinary community and act as a gateway to support and advice to ensure that our postgraduates have access to a high quality postgraduate experience.

How to apply

If you are eligible to apply for this research opportunity, please complete the online application form.

Contact

Informal inquiries, with a detailed CV and academic transcripts, should be sent to Dr Shoaib Sarfraz s.sarfraz@bham.ac.uk, Prof David Butler d.l.butler@bham.ac.uk, and Priyanka Ghosh Priyanka.Ghosh@the-mtc.org.

Closing Date: 28th February 2025.

Proposed PhD Start Date: 1st October 2025.

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PhD Opportunity: AI-Enhanced Sustainability: Driving Net-Zero Targets in Advanced Manufacturing[...] employer: FindAPhD

The University of Birmingham, in collaboration with the Manufacturing Technology Centre (MTC), offers a unique PhD opportunity that combines cutting-edge research in AI and sustainability within a supportive academic environment. As part of a globally recognised institution, you will engage in impactful research that addresses critical challenges in advanced manufacturing, while benefiting from excellent facilities, strong collaborative networks, and a commitment to fostering interdisciplinary growth. This role not only provides a chance to contribute to meaningful innovations but also ensures a nurturing community that prioritises your professional development and well-being.
FindAPhD

Contact Detail:

FindAPhD Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land PhD Opportunity: AI-Enhanced Sustainability: Driving Net-Zero Targets in Advanced Manufacturing[...]

✨Tip Number 1

Familiarise yourself with the latest advancements in AI and sustainability. This will not only help you understand the project better but also allow you to engage in meaningful discussions during interviews, showcasing your passion and knowledge.

✨Tip Number 2

Network with professionals in the field of advanced manufacturing and AI. Attend relevant conferences or webinars, and connect with researchers or industry experts on platforms like LinkedIn to gain insights and potentially get referrals.

✨Tip Number 3

Prepare to discuss your experience with quantitative modelling and programming. Be ready to share specific examples of projects or coursework where you've applied these skills, as they are highly relevant to the PhD opportunity.

✨Tip Number 4

Reach out to the contacts listed in the job description for informal inquiries. This shows initiative and can provide you with valuable information about the project and expectations, helping you tailor your approach when applying.

We think you need these skills to ace PhD Opportunity: AI-Enhanced Sustainability: Driving Net-Zero Targets in Advanced Manufacturing[...]

Artificial Intelligence (AI)
Life Cycle Analysis (LCA)
Quantitative Modelling
Computer Programming
Machine Learning
AI Algorithms
Data Analysis
Sustainability Assessment Methods
Presentation Skills
Report Writing
Interdisciplinary Collaboration
Problem-Solving Skills
Research Methodology
Technical Communication

Some tips for your application 🫡

Understand the Project: Read through the project description carefully. Make sure you understand the integration of AI with Life Cycle Analysis and how it relates to advanced manufacturing. This will help you tailor your application to highlight relevant skills and experiences.

Highlight Relevant Experience: In your CV and cover letter, emphasise any experience you have in computer science, industrial engineering, or environmental science. Mention specific projects or coursework that demonstrate your knowledge of AI, sustainability, or advanced technologies.

Craft a Strong Personal Statement: Your personal statement should reflect your passion for AI and sustainability. Discuss your motivation for applying, your research interests, and how they align with the goals of the project. Be sure to mention any quantitative modelling or programming experience.

Prepare Supporting Documents: Gather all necessary documents such as your CV, academic transcripts, and any recommendation letters. Ensure these documents are up-to-date and clearly showcase your qualifications for the PhD opportunity.

How to prepare for a job interview at FindAPhD

✨Showcase Your Relevant Experience

Make sure to highlight any experience you have in AI, sustainability, or advanced manufacturing. Discuss specific projects or coursework that demonstrate your skills in quantitative modelling and computer programming.

✨Understand the Project's Goals

Familiarise yourself with the objectives of the PhD project. Be prepared to discuss how your background aligns with the integration of AI and Life Cycle Analysis (LCA) in driving innovation within advanced manufacturing.

✨Prepare Thoughtful Questions

Think of insightful questions to ask during the interview. This could include inquiries about the research environment, collaboration opportunities, or the impact of the project on sustainable manufacturing practices.

✨Demonstrate Communication Skills

Since the role involves producing high-quality presentations and reports, be ready to showcase your communication skills. You might want to prepare a brief presentation on a relevant topic to illustrate your ability to convey complex information clearly.

PhD Opportunity: AI-Enhanced Sustainability: Driving Net-Zero Targets in Advanced Manufacturing[...]
FindAPhD
Location: Coventry
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