At a Glance
- Tasks: Use machine learning to revolutionise drug discovery and model drug-protein interactions.
- Company: Newcastle University and Genesis Therapeutics, leaders in innovative research.
- Benefits: Fully funded studentship with home fees and living allowance for 4 years.
- Other info: Start date: 16th September 2024; contact Dr. Daniel Cole for more info.
- Why this job: Join a cutting-edge project that combines AI and healthcare to make a real difference.
- Qualifications: Must meet specific residency criteria; passion for ML and drug discovery is essential.
The predicted salary is between 18000 - 25000 £ per year.
Newcastle University, in collaboration with Genesis Therapeutics, offers a studentship focusing on machine learning to enhance drug discovery processes. The successful candidate will model interactions between drugs and proteins, leveraging quantum mechanical data.
This 4-year award provides full home fees coverage and a living allowance, starting on 16th September 2024. Candidates must meet specific eligibility criteria, including residency requirements.
Interested applicants should contact Dr. Daniel Cole at daniel.cole@ncl.ac.uk by 21st May 2024.
PhD Studentship: ML-Driven Drug Discovery (Fully Funded) in Newcastle upon Tyne employer: Newcastle University
Newcastle University, in partnership with Genesis Therapeutics, is an exceptional employer for aspiring researchers in the field of machine learning and drug discovery. With a fully funded PhD studentship, you will benefit from a supportive academic environment that fosters innovation and collaboration, while also receiving comprehensive financial support to focus on your research. The university's commitment to employee growth and development, combined with its vibrant location, makes it an ideal place for those seeking meaningful and rewarding careers in scientific research.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Studentship: ML-Driven Drug Discovery (Fully Funded) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty members at Newcastle University. They can give you insider info about the programme and might even put in a good word for you.
✨Tip Number 2
Prepare for your interview by brushing up on machine learning concepts and drug discovery processes. We want to see your passion and knowledge shine through, so practice explaining complex ideas in simple terms.
✨Tip Number 3
Don’t just wait for opportunities to come to you. Be proactive! Contact Dr. Daniel Cole early to express your interest and ask any questions you might have about the studentship.
✨Tip Number 4
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 follow the proper channels.
We think you need these skills to ace PhD Studentship: ML-Driven Drug Discovery (Fully Funded) in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight your experience and skills that are relevant to machine learning and drug discovery. We want to see how you can contribute to our exciting project!
Show Your Passion:Let us know why you're interested in this PhD studentship! Share your enthusiasm for machine learning and drug discovery, and how it aligns with your career goals. We love seeing candidates who are genuinely excited about the field.
Follow the Guidelines:Pay close attention to the eligibility criteria and application instructions. We want to make sure you meet all the requirements, so double-check everything before hitting send. It’ll save you time and effort!
Reach Out if You Have Questions:Don’t hesitate to contact Dr. Daniel Cole if you have any queries about the application process or the studentship itself. We’re here to help, and we want to ensure you have all the information you need to apply through our website.
How to prepare for a job interview at Newcastle University
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and drug discovery. Familiarise yourself with the latest trends in quantum mechanics as it relates to protein interactions. This will show your passion and understanding of the field.
✨Prepare Your Questions
Think about what you want to know from Dr. Daniel Cole and the team at Newcastle University. Prepare insightful questions about the studentship, the research environment, and potential projects. This demonstrates your genuine interest and engagement.
✨Showcase Your Skills
Be ready to discuss any relevant experience you have with machine learning or drug discovery. Bring examples of past projects or research that highlight your skills. This is your chance to shine and show how you can contribute to the team.
✨Practice Makes Perfect
Conduct mock interviews with friends or mentors to get comfortable with common interview questions. Focus on articulating your thoughts clearly and confidently. The more you practice, the more relaxed you'll feel during the actual interview.
