Research Assistant - Computer Science
Research Assistant - Computer Science

Research Assistant - Computer Science

Oxford Internship 28800 - 48000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop tools for data collection and support innovative research in startup ecosystems.
  • Company: Join the Oxford Internet Institute, a leader in social science research.
  • Benefits: Gain valuable experience, work with experts, and enhance your skills.
  • Why this job: Make an impact on entrepreneurship research while honing your programming and analytics skills.
  • Qualifications: Degree in computer science or related field; strong communication and computational skills.
  • Other info: Be part of a dynamic team at a prestigious university with growth opportunities.

The predicted salary is between 28800 - 48000 Β£ per year.

  • Developing tools and pipelines for data collection, processing, and quality assurance.
  • Assisting in and supporting the development of an agent-based model of startup ecosystems.
  • Applying programming and data analytics skills to manage and analyse large, complex datasets.
  • Contributing to methodological innovation at the intersection of computer science, data science, and social science.
  • Assisting in the preparation of outputs for academic, business, and public audiences.
    We are seeking a motivated and technically skilled Research Assistant with a background in computer science, business analytics, information systems, business computing or related to join our Science of Startups research project, which explores the role of personality traits in entrepreneurship and which studies startup ecosystems more broadly., You Will Hold, or be close to completing, a first degree in computer science, business informatics, data science, or a related subject, have excellent communication skills, and experience in developing and applying computational methods.
    The Oxford Internet Institute – founded in 2001 – is a multidisciplinary research and teaching department of the University of Oxford, dedicated to the social science of the Internet.

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Research Assistant - Computer Science employer: University of Oxford

The Oxford Internet Institute offers a dynamic and collaborative work environment where innovation thrives, particularly for those passionate about the intersection of technology and social science. As a Research Assistant, you will benefit from exceptional opportunities for professional growth, access to cutting-edge resources, and the chance to contribute to impactful research that shapes our understanding of startup ecosystems. Located in the heart of Oxford, you will be part of a vibrant academic community that values diversity, creativity, and meaningful contributions to society.
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Contact Detail:

University of Oxford Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Research Assistant - Computer Science

✨Tip Number 1

Network like a pro! Reach out to people in your field, especially those connected to the Oxford Internet Institute. A friendly chat can open doors and give you insights that might just land you that Research Assistant role.

✨Tip Number 2

Show off your skills! When you get the chance to meet potential employers, be ready to discuss your programming and data analytics experience. Bring examples of your work or projects that highlight your ability to manage and analyse complex datasets.

✨Tip Number 3

Prepare for interviews by brushing up on your knowledge of agent-based models and startup ecosystems. Being able to discuss these topics confidently will show that you're not just technically skilled but also genuinely interested in the research area.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Research Assistant - Computer Science

Data Collection
Data Processing
Quality Assurance
Agent-Based Modelling
Programming Skills
Data Analytics
Large Dataset Management
Methodological Innovation
Communication Skills
Computer Science Knowledge
Business Analytics
Information Systems
Business Computing
Computational Methods

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your skills in programming and data analytics, as these are key for the Research Assistant role. We want to see how your background in computer science or related fields aligns with our project on startup ecosystems.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the intersection of computer science and social science. Let us know how your experiences make you a great fit for our Science of Startups research project.

Showcase Your Communication Skills: Since excellent communication is a must-have for this role, make sure to demonstrate your ability to convey complex ideas clearly in your application. Whether it's through your CV or cover letter, we want to see that you can engage with both academic and public audiences.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re keen on joining our team at the Oxford Internet Institute!

How to prepare for a job interview at University of Oxford

✨Know Your Tech

Make sure you brush up on your programming and data analytics skills before the interview. Be ready to discuss specific tools and languages you've used, especially those relevant to data collection and processing. This will show that you're not just familiar with the concepts but can actually apply them.

✨Understand the Research

Familiarise yourself with the Science of Startups research project and its focus on personality traits in entrepreneurship. Being able to discuss how your background aligns with their goals will demonstrate your genuine interest and commitment to the role.

✨Prepare for Methodological Questions

Since the role involves contributing to methodological innovation, be prepared to talk about any innovative approaches you've taken in past projects. Think of examples where you've applied computational methods creatively, and be ready to explain your thought process.

✨Communicate Clearly

Excellent communication skills are a must for this position. Practice explaining complex technical concepts in simple terms, as you'll need to prepare outputs for diverse audiences. This will help you stand out as someone who can bridge the gap between technical and non-technical stakeholders.

Research Assistant - Computer Science
University of Oxford

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