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 is 16th September 2024; apply by 21st May 2024.
- Why this job: Join a cutting-edge project that combines AI and healthcare for real-world impact.
- Qualifications: Eligibility criteria include residency requirements; passion for ML and drug discovery is key.
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 by 21st May 2024.
PhD Studentship: ML-Driven Drug Discovery (Fully Funded) 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 work culture that fosters innovation and collaboration, alongside opportunities for professional growth in a cutting-edge research environment. Located in a vibrant academic community, this role offers not only financial support but also the chance to contribute to meaningful advancements in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Studentship: ML-Driven Drug Discovery (Fully Funded)
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty at Newcastle University. They can give you insider info on the application process and what it’s really like to work in ML-driven drug discovery.
✨Tip Number 2
Prepare for your interview by brushing up on your knowledge of machine learning and drug discovery. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 3
Show your passion! When you get the chance to speak with Dr. Daniel Cole or anyone else involved in the programme, make sure to express why you’re excited about this studentship and how your background aligns with their research goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’ve got all the resources you need to make your application stand out.
We think you need these skills to ace PhD Studentship: ML-Driven Drug Discovery (Fully Funded)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience and skills relevant to machine learning and drug discovery. We want to see how your background aligns with the exciting work we do at Newcastle University and Genesis Therapeutics.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about ML-driven drug discovery and how you can contribute to our team. Keep it engaging and personal, so we get a sense of who you are.
Showcase Relevant Projects:If you've worked on any projects related to quantum mechanics or drug interactions, make sure to highlight them in your application. We love seeing practical examples of your work that demonstrate your skills and knowledge.
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 and ensures you don’t miss out on any important updates. We’re excited to see what you bring to the table!
How to prepare for a job interview at Newcastle University
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and how they apply to drug discovery. Familiarise yourself with quantum mechanics as it relates to protein interactions, as this will likely come up in the interview.
✨Show Your Passion
Express your enthusiasm for the field of drug discovery and machine learning. Share any relevant projects or experiences that highlight your commitment and interest in advancing this area of research.
✨Prepare Questions
Have a few thoughtful questions ready for Dr. Daniel Cole. This shows your genuine interest in the studentship and helps you understand more about the expectations and opportunities within the role.
✨Practice Makes Perfect
Conduct mock interviews with friends or mentors. Focus on articulating your thoughts clearly and confidently, especially when discussing complex topics like ML algorithms or quantum data analysis.
