Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Dive into cutting-edge research on machine learning for V2G flexibility.
- Company: Join a dynamic team at Salford, leading innovation in sustainable energy solutions.
- Benefits: Enjoy flexible working hours and opportunities for professional development.
- Why this job: Make a real impact on the future of energy while collaborating with passionate experts.
- Qualifications: Ideal for those with a background in machine learning or related fields.
- Other info: Be part of the DriVe2X project, shaping the future of vehicle-to-grid technology.
The predicted salary is between 36000 - 60000 £ per year.
Research Fellow (Machine Learning for Vehicle-to-Grid (V2G) Flexibility/DriVe2X project) - Salford employer: What Jobs
Contact Detail:
What Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow (Machine Learning for Vehicle-to-Grid (V2G) Flexibility/DriVe2X project) - Salford
✨Tip Number 1
Familiarize yourself with the latest advancements in machine learning, especially as they relate to vehicle-to-grid technologies. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with current research and publications related to V2G systems. Being able to discuss recent findings or trends can set you apart from other candidates and show that you're proactive in your learning.
✨Tip Number 3
Network with professionals in the field of machine learning and V2G. Attend relevant conferences or webinars, and connect with researchers on platforms like LinkedIn to gain insights and potentially get referrals.
✨Tip Number 4
Prepare to discuss how your previous experiences and projects align with the goals of the DriVe2X project. Tailoring your conversation to highlight relevant skills and experiences can make a strong impression during interviews.
We think you need these skills to ace Research Fellow (Machine Learning for Vehicle-to-Grid (V2G) Flexibility/DriVe2X project) - Salford
Some tips for your application 🫡
Understand the Project: Familiarize yourself with the DriVe2X project and its objectives. This will help you tailor your application to demonstrate how your skills in machine learning can contribute to vehicle-to-grid flexibility.
Highlight Relevant Experience: In your CV and cover letter, emphasize any previous research or projects related to machine learning, V2G systems, or energy management. Be specific about your contributions and outcomes.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background to the goals of the DriVe2X project. Explain why you are passionate about this area and how your expertise aligns with the research fellow position.
Proofread Your Application: Before submitting, carefully proofread your application materials for clarity, grammar, and spelling. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at What Jobs
✨Understand the V2G Concept
Make sure you have a solid grasp of Vehicle-to-Grid technology and its implications for energy flexibility. Be prepared to discuss how machine learning can enhance V2G systems.
✨Showcase Your Research Experience
Highlight your previous research projects, especially those related to machine learning or energy systems. Be ready to explain your methodologies and the outcomes of your work.
✨Prepare for Technical Questions
Expect technical questions that assess your knowledge of machine learning algorithms and their applications in real-world scenarios. Brush up on relevant concepts and be ready to solve problems on the spot.
✨Demonstrate Team Collaboration Skills
Since this role may involve working with interdisciplinary teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals.
