Computer Science PhD Intern - Systems

Candidates will collaborate with a dedicated mentor and a talented team, contributing to research that impacts millions of users globally.

The internship for the Computer Science PhD Intern - Systems role at Brave lasts for three months, typically starting in June 2025. However, Brave is flexible with the start dates for exceptional candidates, ensuring a good fit for everyone.

Brave is committed to supporting its Computer Science PhD Interns by providing a mentoring system, competitive salaries, home-office stipends, and a fully remote working environment. Interns are encouraged to grow professionally and contribute to meaningful projects that align with their research interests.

The Computer Science PhD Intern - Systems role at Brave includes interest areas such as Efficient/On-device Machine Learning, Verifiable and Private Data Collection, Internet/Web Measurements, Anti-Fraud and Reputation Systems, and Mobile System Performance Evaluations. Interns will have the chance to work on research that shapes the future of the internet.

The salary for the Computer Science PhD Intern - Systems position at Brave is $7,000 per month. This competitive compensation reflects Brave's commitment to attracting the best talent while providing a supportive and enriching internship experience.

Yes, the Computer Science PhD Intern - Systems position at Brave is fully remote. This means interns can work from anywhere in Europe, the UK, or North America, allowing for a flexible work-life balance.

Brave stands out as a unique place to intern because of its mission-driven culture focused on online privacy and user empowerment. Interns collaborate with industry leaders in a welcoming, flat organization that encourages innovation, creativity, and direct impact on the future of the web.

When answering this question, express your passion for privacy technology and how Brave's mission aligns with your personal values and academic interests. Highlight specific projects or research that resonate with you, illustrating your enthusiasm.

Choose a project that emphasizes your analytical skills and problem-solving approach. Make sure to outline the problem, the methods you implemented, and the outcome. This demonstrates your capability to manage challenges relevant to the Computer Science PhD Intern - Systems role.

Explain your organizational strategies and methods for effective time management. Highlight tools or frameworks that you use to balance research tasks with personal commitments, emphasizing your ability to meet deadlines and manage workload efficiently.

Outline your technical skills relevant to the position, such as programming languages, frameworks, data analysis tools, and any experience with machine learning or web technologies. Provide examples of how you've applied these skills in academic or project settings.

Share an example of a successful team project, stressing your role and how you fostered collaboration. This will illustrate your ability to communicate effectively with others and work toward a common goal, both vital in Brave's team-oriented culture.

Do your research about Brave's mission and unique initiatives, such as ad-blocking features and its cryptocurrency wallet. Articulating how these features enhance user privacy will show your genuine interest in the company and its operations.

Choose a specific scenario where you received constructive criticism, how you addressed it, and the positive changes that resulted. This emphasizes your capacity for growth and adaptability, important traits for a Computer Science PhD Intern.

Employ critical thinking by discussing your process of breaking down the problem, researching potential solutions, and seeking expert advice. This highlights your resourcefulness and ability to navigate ambiguity, essential for innovative projects at Brave.

Articulate your career aspirations and how they relate to Brave’s mission. Discussing a future striving for impactful research or leading innovations will resonate well and display your alignment with the company's goals.

Reflect on specific resources, courses, or communities where you actively engage with ongoing advancements. This shows your commitment to lifelong learning and demonstrates that you are proactive about staying ahead in the fast-evolving tech landscape.