Student Researcher, 2024 in London

Student Researcher, 2024 in London

London Internship 20000 - 30000 £ / year (est.) Home office (partial)
Google

At a Glance

  • Tasks: Collaborate with Google researchers on innovative projects in computer science.
  • Company: Join Google, a leader in tech innovation and research.
  • Benefits: Paid position with flexible hours and remote work options.
  • Other info: Explore open-ended research topics in a dynamic environment.
  • Why this job: Make an impact on cutting-edge research while developing your skills.
  • Qualifications: Pursuing a degree in relevant fields with programming experience.

The predicted salary is between 20000 - 30000 £ per year.

Minimum qualifications:

  • Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
  • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).

Preferred qualifications:

  • Currently enrolled in a full-time degree program in EMEA and returning to the program after completion of the internship.
  • Experience as a researcher, including internships, full-time, or at a lab.
  • Experience contributing to research communities or efforts, including publishing papers in major conferences or journals.
  • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
  • Ability to communicate in English fluently.

About the job:

The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on research projects. The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for flexibility beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don’t always have a clear deliverable like a traditional internship would. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Responsibilities:

Responsibilities and detailed projects will be determined based on your educational background, interest, and skills.

Student Researcher, 2024 in London employer: Google

Google is an exceptional employer for aspiring researchers, offering a unique opportunity to collaborate with leading scientists and engineers in a dynamic and innovative environment. With a strong emphasis on flexibility, the Student Researcher Program allows you to engage in open-ended projects that foster creativity and exploration, all while providing valuable mentorship and growth opportunities. Located in EMEA, Google promotes a vibrant work culture that values diversity, encourages academic collaboration, and supports your professional development.

Google

Contact Details:

Google Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Student Researcher, 2024 in London

Tip Number 1

Network like a pro! Reach out to your professors, classmates, or even alumni who have worked at Google. They might have insider info or connections that could help you land that Student Researcher gig.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to computer science or research. This will give you an edge and demonstrate your hands-on experience to potential employers.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your research experiences in detail. We want to see your passion!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team and eager to contribute to exciting research projects.

We think you need these skills to ace Student Researcher, 2024 in London

Natural Language Understanding
Computer Vision
Machine Learning
Deep Learning
Algorithmic Foundations of Optimization
Quantum Information Science
Data Science

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience in computer science or any relevant field. Whether it's Natural Language Understanding or Machine Learning, we want to see what you've got! Tailor your application to showcase your skills and projects that align with the role.

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point. Use bullet points if necessary to make your achievements stand out!

Connect Your Experience:Link your past research experiences or internships to the role you're applying for. If you've published papers or contributed to research communities, let us know! This shows us you're serious about your research journey.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it makes the whole process smoother for both you and us.

How to prepare for a job interview at Google

Know Your Stuff

Make sure you brush up on your knowledge in areas like Natural Language Understanding, Machine Learning, or any specific field mentioned in the job description. Be ready to discuss your projects or research experiences in detail, as this will show your passion and expertise.

Showcase Your Skills

Prepare to demonstrate your programming skills in languages like Python or Java. You might be asked to solve a coding problem or explain your thought process during the interview, so practice common algorithms and data structures beforehand.

Research the Company

Familiarise yourself with Google’s research initiatives and recent projects. This will not only help you understand their work culture but also allow you to ask insightful questions, showing your genuine interest in the role and the company.

Communicate Clearly

Since fluency in English is a must, practice articulating your thoughts clearly and concisely. Whether discussing your research or answering technical questions, clear communication can set you apart from other candidates.