At a Glance
- Tasks: Guide ambitious students through independent research projects in computer science and AI.
- Company: EZScholar, a leader in academic mentorship for aspiring researchers.
- Benefits: Flexible part-time hours, impactful mentoring experience, and the chance to shape future innovators.
- Other info: Join a dynamic team dedicated to fostering the next generation of researchers.
- Why this job: Make a difference by helping students achieve their academic dreams and prepare for elite universities.
- Qualifications: Ph.D. holders or near completion from Russell Group with mentoring experience preferred.
The predicted salary is between 30000 - 40000 £ per year.
EZScholar is seeking part-time Research Mentors (Ph.D. holders, professors, lecturers or postdocs) from Russell Group to guide high-achieving high school and undergraduate students through 10–12 week independent research projects online.
Success Criteria
Helping an ambitious student narrow down a niche topic, design a rigorous methodology, and complete a high-quality, publication-ready research paper.
Organizational Fit
Mentors serve as our core academic engine, providing the advanced scaffolding needed to prepare top-tier students for elite university admissions.
Responsibilities
- Conduct weekly, 1-hour virtual mentorship sessions over a 10-to-12-week cycle.
- Help students scope a viable, specialized research topic and testable hypothesis.
- Guide students through literature reviews, methodology, and data/simulation analysis.
- Provide constructive written and verbal feedback on iterative paper drafts.
- Review the final submission to ensure it meets academic and publication standards.
Qualifications
Education: Completed Ph.D. (or near completion) in a relevant academic field from Russell Group universities.
Experience: Current or recent appointment as a Postdoctoral Researcher, Professor, or University Lecturer.
Skills: Excellent communication skills, with a track record of peer-reviewed publications.
Mentorship: Prior experience teaching or mentoring high-achieving young learners is preferred.
Research Mentors - Computer Science / Computer Vision / AI employer: EZScholar Edutech
EZScholar is an exceptional employer that values the expertise of its Research Mentors, offering a unique opportunity to shape the next generation of scholars in a flexible online environment. With a strong commitment to mentorship and academic excellence, the company fosters a collaborative work culture that encourages professional growth and innovation. Located within the prestigious Russell Group framework, mentors can engage with ambitious students while contributing to meaningful research projects that enhance their own academic profiles.
StudySmarter Expert Advice🤫
We think this is how you could land Research Mentors - Computer Science / Computer Vision / AI
✨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 EZScholar Edutech.
✨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 EZScholar Edutech 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 Research Mentors - Computer Science / Computer Vision / AI
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 EZScholar Edutech 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 EZScholar Edutech
✨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 EZScholar Edutech.
✨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 EZScholar Edutech.
✨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 EZScholar Edutech, 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 EZScholar Edutech 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.
