Part-Time Research Assistant: AI Education Evaluation & Data Analysis

Part-Time Research Assistant: AI Education Evaluation & Data Analysis

Part-Time 30000 - 40000 £ / year (est.) Home office (partial)
Durham University

At a Glance

  • Tasks: Assist in data collection, organisation, and analysis for impactful education projects.
  • Company: Durham University’s School of Education, known for its innovative research.
  • Benefits: Flexible part-time hours, valuable experience, and the chance to work on meaningful projects.
  • Other info: Collaborate with a diverse team across time zones.
  • Why this job: Make a difference in AI education while developing your research skills.
  • Qualifications: Strong communication skills and an interest in data analysis.

The predicted salary is between 30000 - 40000 £ per year.

Durham University’s School of Education is seeking a part-time Research Assistant (0.2 FTE) to support data collection, organisation and analysis for an ESRC Impact Acceleration Account project in collaboration with the JMB Secretariat of Secondary Schools in Ireland.

The role reports to Dr Jasper Roe and involves interviews, surveys, workshop support, and contributions to evaluation reports while upholding GDPR and ethical standards.

Close teamwork across time zones is required.

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Part-Time Research Assistant: AI Education Evaluation & Data Analysis employer: Durham University

Durham University is an exceptional employer, offering a vibrant academic environment that fosters collaboration and innovation. As a Postdoctoral Research Associate in Anthropology, you will benefit from extensive professional development opportunities, a supportive work culture, and the chance to contribute to impactful research that shapes understanding of diverse cultures. Located in a historic city, the university provides a unique setting for both personal and professional growth.

Durham University

Contact Details:

Durham University Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Part-Time Research Assistant: AI Education Evaluation & Data Analysis

Get Involved in Online Communities

Dive into online forums and communities centred around digital learning and education, like EdTech chats on Twitter or groups on LinkedIn. Engaging in discussions and sharing your insights can help build your visibility and credibility in the sector.

Attend EdTech Meetups and Workshops

Look for local meetups or workshops focused on digital education trends. Not only do they enable us to learn about the latest in the field, but they’re also great networking opportunities to meet potential employers like Durham University or other educators who might know about upcoming part-time roles.

Leverage Your University’s Resources

If you’re currently studying, make sure to tap into your university's career services. They often have connections with local businesses in the education space, plus they can help us uncover part-time job openings that aren't widely advertised.

Showcase Your Skills through Projects

Create a portfolio showcasing any relevant projects or experiences in digital learning. Whether it's designing a learning module or contributing to an e-learning platform, having tangible examples will catch the eye of hiring managers at Durham University.

We think you need these skills to ace Part-Time Research Assistant: AI Education Evaluation & Data Analysis

Data Collection
Data Organisation
Data Analysis
Interviewing Skills
Survey Design
Workshop Facilitation
Report Writing

Some tips for your application 🫡

Highlight Your Experience in Digital Learning:When applying for a role in digital learning like the Part-Time Research Assistant: AI Education Evaluation & Data Analysis at Durham University, make sure to showcase any prior experience you have in creating or managing online learning materials. We want to see how you've made an impact in previous roles, so don’t shy away from providing specific examples or projects you’ve worked on.

Showcase Relevant Skills and Tools:Mention any specific platforms or tools you’ve used in the digital learning space. For instance, if you're familiar with LMS (Learning Management Systems) or any authoring tools, include these in your CV. This demonstrates you’re not only passionate but also ready to hit the ground running at Durham University.

Express Your Passion for Education:In your cover letter, we really want to feel your enthusiasm for digital learning. Talk about your motivations for joining Durham University and how you hope to contribute to shaping the future of education. This is a part-time role, so highlighting your commitment and drive will go a long way!

Tailor Your CV to Stand Out:Adapt your CV specifically for the Part-Time Research Assistant: AI Education Evaluation & Data Analysis role by aligning your experiences and skills directly with the job description. Use strong action verbs and bullet points, focusing on your contributions in previous roles. We appreciate a clear, concise format that makes it easy for us at Durham University to see why you’re a perfect fit.

How to prepare for a job interview at Durham University

Showcase Your Digital Savvy

In the digital learning and education space, being tech-savvy is crucial. Make sure to highlight any experience you have with e-learning platforms, learning management systems, or educational software during your interview. Think about specific examples of how you’ve used these tools to enhance learning experiences – this will show Durham University you’re already familiar with the landscape!

Prepare to Discuss Educational Theories

Expect questions related to educational methodologies or theories that underpin digital learning. Brush up on concepts like constructivism or blended learning and be ready to discuss how these can apply to real-world scenarios. The interviewers at Durham University will appreciate your understanding of the educational principles that drive effective learning.

Flexibility & Adaptability are Key

As this is a part-time role, demonstrate how you can manage your time effectively and adapt to the dynamic demands of the position. Share examples from past experiences where you successfully balanced multiple tasks while contributing to team projects. This will reassure Durham University that you’re not just a candidate but a reliable team member who can juggle responsibilities.

Portfolio and Samples Matter

Even for a part-time gig, having a portfolio of your work can really set you apart. If you've designed any e-learning modules, created educational content, or implemented any successful teaching strategies, make sure you can present those. Being ready with tangible examples from your past work will help you make a stronger case to Durham University about what you bring to the table.