Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop genome-scale models and design machine learning algorithms for sustainable biorefineries.
- Company: Join a leading UKRI-funded project with top universities and industry partners.
- Benefits: Competitive salary, access to high-performance computing facilities, and hybrid working options.
- Why this job: Make a real impact on sustainability through cutting-edge computational biology and AI.
- Qualifications: Experience in computational biology, machine learning, and data analysis required.
- Other info: Exciting opportunity for career growth in a multidisciplinary environment.
The predicted salary is between 35608 - 46049 £ per year.
We are seeking a highly motivated Postdoctoral Research Associate (PDRA) to join an exciting UKRI-funded project titled "AI-Driven Metabolic Modelling and Sustainability Assessment for Next-Generation Biorefineries." The project aims to accelerate the design of sustainable biorefineries by leveraging computational biology and artificial intelligence to optimise microbial strain engineering and bioprocess strategies for converting agro-industrial residues into high-value chemicals.
The successful candidate will:
- Develop genome-scale metabolic models (GEMs) for engineered microbial strains.
- Design and implement machine learning algorithms to predict strain performance and optimise metabolic pathways.
- Integrate multi-omics datasets into computational workflows for systems-level analysis.
- Perform techno-economic analysis (TEA) and life cycle assessment (LCA) using tools such as Aspen Plus, openLCA, and BioSTEAM.
You will work within a multidisciplinary consortium of three leading UK universities and two industrial partners, contributing to the UK's transition toward a circular bioeconomy. The role offers access to Loughborough University's High-Performance Computing (HPC) facilities, including the Lovelace cluster and regional Tier-2 resources, supporting large-scale computational modelling and machine learning tasks. The position is full-time and fixed-term for 24 months. Salary will be on Specialist and Supporting Academic Grade 6, from £35,608 - £46,049 per annum.
Research Associate In Computational Biology And Machine Learning employer: Loughborough University
Contact Detail:
Loughborough University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate In Computational Biology And Machine Learning
✨Tip Number 1
Network like a pro! Reach out to professionals in computational biology and machine learning on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss genome-scale metabolic models and machine learning algorithms. We recommend practising common interview questions related to your field.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant research or personal projects, make sure to highlight them during interviews. We love seeing practical applications of your skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Research Associate In Computational Biology And Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Research Associate in Computational Biology and Machine Learning. Highlight relevant experience, especially in computational biology, machine learning, and any projects that align with sustainable biorefineries.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share your passion for AI-driven metabolic modelling and sustainability, and don’t forget to mention any specific skills or experiences that relate directly to the job description.
Showcase Your Technical Skills: Since this role involves developing genome-scale metabolic models and implementing machine learning algorithms, be sure to showcase your technical skills. Mention any tools or programming languages you’re proficient in, like Python or R, and any relevant software experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets to us directly and allows you to keep track of your application status easily.
How to prepare for a job interview at Loughborough University
✨Know Your Stuff
Make sure you brush up on computational biology and machine learning concepts. Be ready to discuss genome-scale metabolic models and how you would approach designing machine learning algorithms. The more you know, the more confident you'll feel!
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your skills in integrating multi-omics datasets or performing techno-economic analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Ask Smart Questions
Think of insightful questions about the project and the team. Inquire about the collaboration with the universities and industrial partners, or ask how they envision the role contributing to the circular bioeconomy. This shows your genuine interest and engagement.
✨Practice Makes Perfect
Conduct mock interviews with a friend or mentor. Focus on articulating your thoughts clearly and concisely, especially when discussing complex topics like life cycle assessment tools. The more you practice, the more natural it will feel during the actual interview.
