At a Glance
- Tasks: Assist in predictive modelling and data analytics for manufacturing improvements.
- Company: Brunel University London, a leader in digital manufacturing research.
- Benefits: Gain valuable research experience and contribute to peer-reviewed publications.
- Other info: Part-time role with opportunities for professional growth in a dynamic research environment.
- Why this job: Join a cutting-edge project and make a real impact in the manufacturing sector.
- Qualifications: Strong skills in computation, machine learning, and programming required.
The predicted salary is between 15.3 - 18.7 £ per hour.
Brunel University London invites applications for a part-time 6-month research role within the Lean Optimal project in the Brunel Digital Manufacturing Research Centre.
The post focuses on predictive modelling, data analytics and software development to support SME manufacturing improvements.
The successful candidate will have strong computation, ML, and programming skills and will contribute to models, software, and a peer-reviewed publication while aligning with industrial project needs.
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AI-Driven Manufacturing Analytics Research Assistant (Part-Time) in Uxbridge employer: Brunel University London
Brunel University London is an exceptional employer, offering a supportive and inclusive work environment that prioritises employee development and wellbeing. As a Maintenance Assistant, you will have the opportunity to contribute to a vibrant campus community while enjoying generous benefits, including a competitive salary, professional growth opportunities, and a commitment to equality and diversity. Located in Uxbridge, you will be part of a dedicated team that values collaboration and innovation in delivering high-quality maintenance services.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Driven Manufacturing Analytics Research Assistant (Part-Time) in Uxbridge
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Brunel University London.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Brunel University London and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace AI-Driven Manufacturing Analytics Research Assistant (Part-Time) in Uxbridge
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Brunel University London aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Brunel University London
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Brunel University London.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Brunel University London.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Brunel University London, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Brunel University London will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
