At a Glance
- Tasks: Collaborate with Google researchers on innovative projects in computer science and related fields.
- 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 and detailed projects will be determined based on your educational background, interest, and skills.
Student Researcher, 2024 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, employee growth, and academic collaboration, the Student Researcher Program allows you to explore open-ended research topics while contributing to groundbreaking projects that shape the future of technology. Located in EMEA, Google fosters a vibrant work culture that values creativity and encourages meaningful contributions, making it an ideal place for students to thrive and develop their skills.
StudySmarter Expert Advice🤫
We think this is how you could land Student Researcher, 2024
✨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 can 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 is your chance to demonstrate what you can bring to the table, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions and coding challenges relevant to the role. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll find all the latest opportunities tailored just for you. Let’s get you that dream role!
We think you need these skills to ace Student Researcher, 2024
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 unless necessary. Make your points easy to understand and get straight to the good stuff about your experience and interests.
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 your commitment and passion for research.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the position and our team there.
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 Research Experience
If you've contributed to research communities or published papers, be prepared to talk about them. Highlight what you learned from those experiences and how they relate to the role. This will demonstrate your commitment to research and your ability to contribute meaningfully.
✨Programming Proficiency is Key
Since the role requires experience with programming languages like Python or Java, make sure you can discuss your coding skills confidently. You might even want to prepare for some technical questions or coding challenges that could come up during the interview.
✨Communicate Clearly
Fluency in English is a must, so practice articulating your thoughts clearly and concisely. Whether it's discussing your research or answering technical questions, clear communication will help you stand out and show that you can collaborate effectively with others.
