At a Glance
- Tasks: Develop innovative solutions in flow chemistry and machine learning for pharmaceutical development.
- Company: University of Leeds, a leading institution in research and innovation.
- Benefits: Full academic fees covered and a tax-free maintenance grant of £19,237 per year.
- Other info: Collaborate with industry partners and enjoy excellent career growth opportunities.
- Why this job: Make a real-world impact on drug development efficiency while gaining multidisciplinary skills.
- Qualifications: First or Upper Second Class UK Bachelor (Honours) in relevant fields.
The predicted salary is between 19237 - 19237 £ per year.
Closing Date: 29 April 2024 at 23:59
Eligibility: UK Applicants only
Funding: EPSRC Doctoral Training Partnership Studentship offering the award of full academic fees, together with a tax-free maintenance grant of £19,237 per year for 3.5 years.
Lead Supervisor: Dr Adam Clayton (a.d.clayton@leeds.ac.uk)
Co-supervisor: Professor Richard Bourne (r.a.bourne@leeds.ac.uk)
Project summary: Are you a Chemist or Chemical Engineer looking to have a positive real-world impact on the efficiency of pharmaceutical development? Throughout this project you will develop a multidisciplinary skillset in flow chemistry, organic synthesis, and programming/reactor automation, which you will use to create new approaches for reaction screening and optimisation. In addition, this work will be conducted in collaboration with industrial partners, including multinational pharmaceutical companies.
Rapid transition from drug discovery to manufacturing is critical for the supply of clinical trials and delivery of newly approved medicines. However, traditional workflows often lead to time-consuming and costly redesigns between the different stages of pharmaceutical development. Digitally coupling autonomous reaction screening and process optimisation platforms has the potential to significantly streamline this process through machine learning guided experimentation.
This interdisciplinary project, based across the Schools of Chemistry and Chemical Engineering at the University of Leeds, will investigate flow chemistry and machine learning approaches for the development of an automated reaction screening platform. This platform will be digitally coupled with other autonomous reactors to accelerate the development and optimisation of pharmaceutical processes.
Entry requirements: First or Upper Second Class UK Bachelor (Honours) or equivalent
Subject Area: Chemical Engineering, Organic Chemistry, Pharmaceutical Chemistry
Keywords: Automation, Chemical Engineering, Machine Learning, Organic Chemistry, Pharmaceutical Development
PhD Studentship: Machine Learning Driven Reaction Screening in Continuous Flow in Leeds employer: University of Leeds
The University of Leeds offers an exceptional environment for PhD students, providing a unique opportunity to engage in cutting-edge research that directly impacts pharmaceutical development. With a strong focus on interdisciplinary collaboration and access to industry partners, students benefit from a supportive work culture that fosters innovation and personal growth. Additionally, the generous funding package ensures financial stability, allowing you to fully immerse yourself in your research and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Studentship: Machine Learning Driven Reaction Screening in Continuous Flow in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of chemical engineering and machine learning. Attend relevant events or webinars, and don’t be shy about introducing yourself to potential collaborators or mentors.
✨Tip Number 2
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to flow chemistry and machine learning, and think about how you can showcase your unique experiences and projects.
✨Tip Number 3
Showcase your passion! When you get the chance to speak with potential supervisors or industry partners, express your enthusiasm for the project and how your background aligns with their goals. A genuine interest can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace PhD Studentship: Machine Learning Driven Reaction Screening in Continuous Flow in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in chemical engineering, organic chemistry, or machine learning. We want to see how your skills align with the project, so don’t be shy about showcasing your academic achievements and any hands-on experience you've had!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this PhD studentship and how you can contribute to the project. We love seeing enthusiasm and a clear understanding of the research area, so let your personality come through.
Follow Application Guidelines:Make sure to read the application guidelines carefully. We want everything submitted correctly, so double-check that you’ve included all required documents and that they’re formatted as requested. It shows attention to detail, which is super important in research!
Apply Through Our Website:Don’t forget to apply through our website! It’s the easiest way for us to keep track of your application. Plus, it ensures you’re following the correct process, which can save you time and hassle down the line.
How to prepare for a job interview at University of Leeds
✨Know Your Stuff
Make sure you brush up on your knowledge of flow chemistry, organic synthesis, and machine learning. Be ready to discuss how these areas intersect and how they apply to the project. Familiarise yourself with recent advancements in these fields to show your enthusiasm and expertise.
✨Showcase Your Skills
Prepare to highlight any relevant experience you have in programming or reactor automation. Think of specific examples where you've successfully applied these skills in a project or research setting. This will help demonstrate your ability to contribute to the multidisciplinary nature of the role.
✨Ask Insightful Questions
Come prepared with thoughtful questions about the project and its impact on pharmaceutical development. Inquire about the collaboration with industrial partners and how that might influence your work. This shows your genuine interest and helps you gauge if the position aligns with your career goals.
✨Connect with Your Interviewers
Take the time to learn about Dr Adam Clayton and Professor Richard Bourne. Understanding their research interests and recent publications can help you build rapport during the interview. A personal connection can make a lasting impression and set you apart from other candidates.
