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- Tasks: Develop advanced machine learning models for optimising water treatment processes.
- Company: Leading university in Cambridge with a focus on innovation.
- Benefits: Fixed-term employment with potential for extension and academic collaboration.
- Why this job: Make a real impact on water treatment while advancing your research career.
- Qualifications: PhD required, strong programming skills in Python, JavaScript, and C.
- Other info: Collaborate with top academic and industry partners in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading university in Cambridge is seeking a motivated Research Associate to develop advanced machine learning models and software tools for optimizing water treatment processes.
The role requires a PhD and strong programming skills, particularly in Python, JavaScript, and C, and involves collaborating with academic and industry partners.
Successful candidates will disseminate research outcomes through publications and presentations.
This position offers fixed-term employment with the possibility of extension.
Water Treatment ML Research Associate in Cambridge employer: UNSW
Contact Detail:
UNSW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Water Treatment ML Research Associate in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in academia and industry, especially those involved in water treatment or machine learning. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects in Python, JavaScript, and C. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both academic and industry partners.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Water Treatment ML Research Associate in Cambridge
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python, JavaScript, and C. We want to see how you can apply these skills to develop advanced machine learning models for water treatment processes.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CV and cover letter to the specific role. Mention your experience with machine learning and any relevant projects you've worked on.
Collaborative Spirit: Since this role involves working with academic and industry partners, let us know about your teamwork experiences. Share examples of how you’ve collaborated successfully in the past.
Keep It Professional: While we appreciate a friendly tone, make sure your application is polished and professional. Proofread for any typos or errors before hitting send. And remember, apply through our website for the best chance!
How to prepare for a job interview at UNSW
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and water treatment processes. Be ready to discuss your PhD research in detail, especially how it relates to the role. This shows your passion and expertise!
✨Show Off Your Coding Skills
Since strong programming skills are a must, prepare to demonstrate your proficiency in Python, JavaScript, and C. You might be asked to solve a coding problem or explain your previous projects, so have examples ready that highlight your technical abilities.
✨Collaborate Like a Pro
This role involves working with both academic and industry partners, so be prepared to discuss your experience in collaborative projects. Share specific examples of how you've successfully worked in teams and communicated complex ideas to diverse audiences.
✨Prepare for Dissemination
Since you'll need to present your research outcomes, think about how you would communicate your findings effectively. Practice summarising your work in a clear and engaging way, as this will demonstrate your ability to share knowledge with others.
