At a Glance
- Tasks: Develop AI models and optimisation algorithms for factory scheduling in SMEs.
- Company: Karlstad University, a leader in innovative research and education.
- Benefits: Competitive salary, generous holiday allowance, and flexible working options.
- Other info: Join a dynamic team with access to extensive facilities across campuses.
- Why this job: Make a real impact on sustainability and productivity in manufacturing.
- Qualifications: Experience in AI and optimisation, with a passion for research.
The predicted salary is between 50000 - 65000 £ per year.
Karlstad University is seeking a Senior Research Associate for a project on AI-native factory scheduling for SMEs. The role develops AI-based models and optimisation algorithms that integrate carbon and productivity goals into manufacturing processes.
This fixed-term position is full-time for 9 months and offers a competitive salary along with a generous holiday allowance, flexible working options, and access to extensive facilities across our East Midlands and London campuses.
Senior AI & Optimisation Researcher (Supply Chain) in Loughborough employer: Karlstad University
At Karlstad University, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through our flexible working options and access to extensive facilities, ensuring that you can thrive both personally and professionally while contributing to meaningful research in AI and optimisation for SMEs.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI & Optimisation Researcher (Supply Chain) in Loughborough
✨Tip Number 1
Network like a pro! Reach out to people in the AI and optimisation fields, especially those connected to Karlstad University. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Showcase your skills! Prepare a portfolio or a presentation that highlights your experience with AI-based models and optimisation algorithms. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get ready for those tricky interview questions by doing mock interviews with friends or using online resources. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, ensuring it gets seen by the right people. Plus, you’ll be one step closer to joining an exciting project on AI-native factory scheduling!
We think you need these skills to ace Senior AI & Optimisation Researcher (Supply Chain) in Loughborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI and optimisation, especially in supply chain contexts. 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 AI-native solutions and how you can contribute to our goals at Karlstad University. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Research Experience:Since this role involves developing models and algorithms, make sure to detail any research you've done in these areas. We’re keen to see how your past work can inform your future contributions, so don’t hold back on the specifics!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Karlstad University
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI, especially those related to factory scheduling and optimisation. Be prepared to discuss how your previous work aligns with integrating carbon and productivity goals into manufacturing processes.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've developed AI-based models or optimisation algorithms. Be ready to explain your thought process and how you tackled challenges, as this will demonstrate your ability to contribute effectively to the project.
✨Understand the SME Landscape
Familiarise yourself with the unique challenges faced by SMEs in the manufacturing sector. This knowledge will help you tailor your responses and show that you understand the context in which your research will be applied.
✨Ask Insightful Questions
Prepare thoughtful questions about the project and the team at Karlstad University. This not only shows your genuine interest but also gives you a chance to assess if the role is the right fit for you.
