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- Tasks: Develop machine learning models and software tools for water treatment optimisation.
- Company: Leading Scottish university focused on environmental management and sustainability.
- Benefits: Competitive salary and opportunity to work on impactful research projects.
- Why this job: Join a dynamic team and contribute to sustainable solutions for water treatment.
- Qualifications: PhD in relevant field, strong coding skills, and bilingual in English and Mandarin.
- Other info: Collaborate with industry partners in a vibrant academic environment.
The predicted salary is between 30000 - 50000 £ per year.
A leading university in Scotland is seeking a motivated Research Associate skilled in machine learning to develop models and software tools for optimizing water treatment processes. The ideal candidate will have a PhD in a relevant discipline, strong coding skills, and the ability to communicate effectively in both English and Mandarin.
This role involves collaborating with academic and industry partners to contribute to research projects focusing on environmental management and sustainability. The position offers a competitive salary and requires on-site work in Kensington.
Water Treatment ML Research Associate employer: UNSW
Contact Detail:
UNSW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Water Treatment ML Research Associate
✨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 that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects and any relevant research. This will give potential employers a taste of what you can bring to the table, especially in optimising water treatment processes.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Since this role involves collaboration, being able to articulate your ideas clearly in both English and Mandarin will set you apart from the competition.
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your machine learning skills and any relevant experience in water treatment. We want to see how your background aligns with the role, so don’t be shy about showcasing your PhD and coding prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about environmental management and sustainability. We love seeing candidates who can communicate their enthusiasm and fit for the role.
Showcase Collaboration Skills: Since this role involves working with academic and industry partners, make sure to mention any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to know how you can contribute to our research efforts.
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’re considered for the position. Plus, it’s super easy – just follow the prompts!
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 and how it relates to the role. This shows you’re not just a candidate, but someone who can contribute meaningfully from day one.
✨Show Off Your Coding Skills
Prepare to demonstrate your coding abilities during the interview. You might be asked to solve a problem or explain your approach to developing models. Practising coding challenges related to data analysis or environmental modelling can really help you shine.
✨Communicate Clearly
Since the role requires effective communication in both English and Mandarin, practice explaining complex concepts in simple terms. This will show that you can collaborate with diverse teams and make your research accessible to others.
✨Research the University and Its Projects
Familiarise yourself with the university’s ongoing research projects in environmental management and sustainability. Being able to discuss how your skills align with their goals will demonstrate your genuine interest in the position and the institution.
