Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop advanced ML models to optimise water treatment processes and collaborate on innovative solutions.
- Company: Leading Australian university focused on environmental management and research.
- Benefits: Flexible working hours, collaborative environment, and opportunities for impactful research.
- Why this job: Make a real difference in environmental management while advancing your career in machine learning.
- Qualifications: PhD or equivalent experience in ML, strong Python coding skills, and excellent communication.
- Other info: Full-time or part-time options available in a vibrant academic setting.
The predicted salary is between 36000 - 60000 £ per year.
A leading university in Australia is seeking a motivated Research Associate skilled in Machine Learning to develop advanced models aimed at optimizing water treatment processes. This role involves collaborating with academic and industry partners to create innovative solutions for environmental management.
Applicants should have:
- A PhD or equivalent experience
- Strong coding abilities in Python and related languages
- Outstanding communication skills
The position is based in Kensington, with full-time or part-time options available.
Water Treatment ML Research Associate in Birmingham employer: UNSW
Contact Detail:
UNSW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Water Treatment ML Research Associate in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the academic and industry circles related to water treatment and machine learning. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to environmental management. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills in Python and related languages. Practice common ML problems and be ready to discuss your thought process and solutions during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you’re serious about joining our team in Kensington.
We think you need these skills to ace Water Treatment ML Research Associate in Birmingham
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding abilities in Python and any relevant machine learning experience. We want to see how your skills can contribute to optimising water treatment processes!
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect the specific requirements of the Research Associate role. We love seeing how you connect your experience to our mission.
Communicate Clearly: Outstanding communication skills are key for this role. When writing your application, be clear and concise. We want to understand your ideas and how you can collaborate with both academic and industry partners.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates about the position!
How to prepare for a job interview at UNSW
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts and techniques, especially those relevant to water treatment. Be ready to discuss your previous projects and how you've applied ML in real-world scenarios. This will show your expertise and passion for the field.
✨Show Off Your Coding Skills
Since strong coding abilities in Python are a must, practice coding challenges or review your past code. Be prepared to demonstrate your coding skills during the interview, whether through a live coding session or by discussing your previous work. This will help us see your technical prowess.
✨Communicate Clearly and Confidently
Outstanding communication skills are key for this role, so practice explaining complex concepts in simple terms. Think about how you can convey your ideas effectively, especially when discussing your research or collaboration with partners. This will help you stand out as a candidate who can bridge the gap between technical and non-technical stakeholders.
✨Research the University and Its Projects
Familiarise yourself with the university's ongoing projects and their approach to environmental management. This knowledge will not only help you tailor your answers but also demonstrate your genuine interest in the position and how you can contribute to their goals.
