At a Glance
- Tasks: Develop deep learning algorithms for real-time X-ray spectroscopy analysis.
- Company: World-class research university with a focus on innovation and collaboration.
- Benefits: Flexible part-time role with opportunities for professional growth.
- Other info: Initial 12-month position with potential for extension and impactful research.
- Why this job: Join a cutting-edge project that transforms scientific analysis using AI.
- Qualifications: Degree in science; expertise in machine learning and programming, preferably Python.
The predicted salary is between 30000 - 40000 £ per year.
We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.
Does your expertise lie in data science techniques and/or theoretical spectroscopy? Do you have a passion to develop your knowledge to transform the analysis of X-ray spectroscopy using Deep Neural Networks? If so, we would love to hear from you.
We are seeking to recruit a part-time research associate to advance the development of deep neural networks for real-time spectroscopic analysis. Based in Chemistry at Newcastle University, as a Research Associate you will develop and use supervised machine learning/deep learning algorithms to transform the analysis of X-ray spectroscopy by developing and using easy-to-use, computationally inexpensive, and accessible tools for the fast and automated analysis of X-ray spectroscopy. This builds upon recent proof-of-concept work we have performed.
You will have:
- An undergraduate degree in a relevant science subject, preferably chemistry, physics or computer science;
- A PhD in computer science, theoretical or computational chemistry or a related discipline (candidates who have submitted their thesis will be considered);
- Expertise in calculating spectroscopic observables or implementing deep learning algorithms;
- Experience with a computer programming language, preferably Python.
This is a part-time position. The duration of the appointment will be initially 12 months. The start date is flexible but ideally will be before September 2024.
To apply, please complete the online application, and provide evidence of how you meet the essential criteria required for the role outlined in ‘The Person' by uploading a letter of application along with your Curriculum Vitae (CV).
Informal approaches can be made to Prof. Thomas Penfold.
Information about the group can be found at: http://www.penfoldgroup.co.uk. For further details about Newcastle University please visit our information page at: http://www.ncl.ac.uk/about. For more information about the School of Natural and Environmental Sciences please click here.
Research Associate in Machine Learning for X-ray Spectroscopy employer: Newcastle University
Newcastle University is an exceptional employer, renowned for its commitment to high-quality teaching and research. Located in the vibrant North East of England, we foster a collaborative work culture that encourages innovation and professional growth, offering unique opportunities to engage in cutting-edge research in machine learning and spectroscopy. Our supportive environment not only values academic excellence but also prioritises the well-being and development of our staff, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Machine Learning for X-ray Spectroscopy
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to Newcastle University. Attend events, join online forums, and don’t be shy about asking for advice or insights. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with deep learning algorithms and X-ray spectroscopy. This could be a GitHub repository or a personal website. It’s a great way to demonstrate your expertise and passion to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to machine learning and spectroscopy. Practice explaining complex concepts in simple terms. We want to see how you can communicate your ideas clearly, so make sure you’re ready to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Make sure to tailor your CV and cover letter to highlight how your experience aligns with the role. We’re excited to see what you bring to the table!
We think you need these skills to ace Research Associate in Machine Learning for X-ray Spectroscopy
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for machine learning and X-ray spectroscopy shine through. We want to see how your passion aligns with our mission to transform analysis in this field.
Tailor Your CV:Make sure your CV highlights relevant experience and skills that match the job description. We’re looking for expertise in deep learning algorithms and programming, so don’t hold back on showcasing your achievements in these areas!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be specific about how your background in chemistry, physics, or computer science makes you a strong candidate for advancing our research.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the easiest way for us to receive your materials and ensures you’re considered for the position. We can’t wait to hear from you!
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 X-ray spectroscopy. Familiarise yourself with the latest research, especially the proof-of-concept work mentioned in the job description. Being able to discuss these topics confidently will show your passion and expertise.
✨Showcase Your Skills
Prepare to discuss your experience with deep learning algorithms and programming languages, particularly Python. Have specific examples ready that demonstrate how you've applied these skills in past projects or research. This will help the interviewers see how you can contribute to their team.
✨Ask Insightful Questions
Think of some thoughtful questions to ask during the interview. This could be about the current projects in the lab or the future direction of the research. It shows you're genuinely interested and engaged, which is always a plus!
✨Tailor Your Application
When preparing your CV and cover letter, make sure to highlight how your background aligns with the role. Use keywords from the job description to demonstrate that you understand what they’re looking for. This will help you stand out from other candidates.
