At a Glance
- Tasks: Develop advanced AI models and optimisation algorithms for supply chain planning.
- Company: Loughborough University, a leader in research and innovation.
- Benefits: Gain valuable experience in a dynamic environment with potential for future opportunities.
- Other info: Join a collaborative team at our Business School for a 9-month project.
- Why this job: Make a real impact on productivity and sustainability while working with industry partners.
- Qualifications: Expertise in AI, machine learning, and generative AI required.
The predicted salary is between 40000 - 50000 £ per year.
Loughborough University is seeking a Senior Research Associate focused on Advanced AI Models and Optimisation Algorithms for Supply Chain Planning and Scheduling. This full-time, fixed-term position lasts for 9 months, contributing to a project aimed at enhancing productivity and achieving Net Zero goals.
The ideal candidate will have expertise in AI, particularly in machine learning and generative AI, and will work collaboratively with industry partners to create real-world applications. The role will take place at our Business School in Loughborough.
Senior AI Research Associate - Supply Chain Optimisation in Loughborough employer: Loughborough University
Loughborough University is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. As a Senior AI Research Associate, you will have the opportunity to engage in cutting-edge research while contributing to meaningful projects aimed at achieving Net Zero goals. With access to professional development resources and a supportive environment, employees are encouraged to grow their skills and advance their careers within the esteemed Business School located in the heart of Loughborough.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Research Associate - Supply Chain Optimisation in Loughborough
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and supply chain sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your expertise in machine learning and generative AI. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and optimisation algorithms. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Research Associate - Supply Chain Optimisation in Loughborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI and optimisation algorithms. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about supply chain optimisation and how your expertise can help us achieve our Net Zero goals. Keep it engaging and personal.
Showcase Collaboration Skills:Since this role involves working with industry partners, highlight any previous collaborative projects. We love to see examples of teamwork and how you’ve contributed to successful outcomes in your past roles.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Loughborough University
✨Know Your AI Stuff
Make sure you brush up on your knowledge of advanced AI models and optimisation algorithms. Be ready to discuss specific projects or experiences where you've applied machine learning or generative AI in real-world scenarios, especially in supply chain contexts.
✨Showcase Collaboration Skills
Since this role involves working with industry partners, be prepared to share examples of how you've successfully collaborated in the past. Highlight any teamwork experiences that demonstrate your ability to communicate effectively and drive results together.
✨Understand the Project Goals
Familiarise yourself with Loughborough University's project aimed at enhancing productivity and achieving Net Zero goals. Think about how your skills can contribute to these objectives and be ready to discuss your ideas during the interview.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the role, the team, and the project. This shows your genuine interest and helps you assess if the position aligns with your career goals.
