PhD Internship Program

PhD Internship Program

Our internship program is tailored for PhD students or graduates across diverse disciplines who are passionate about exploring the intersection of technology and society. Participants will engage in dynamic discussions and collaborate with our team of engineers and thought leaders. As an intern at Nethermind you will enjoy the autonomy to choose your projects develop and refine skills and collaborate with diverse teams.

Who We're Looking For: We are seeking PhD candidates who are deeply curious about the future passionate about challenging existing paradigms and capable of leading discussions on groundbreaking ideas. Ideal candidates will possess a strong theoretical foundation and a keen interest in leveraging technology and modern tools to address complex societal challenges. You will have the opportunity to contribute meaningfully across disciplines including Engineering Robotics Policy Philosophy Physics Computer Science Mathematics Genetics Economics Finance Product Design Business Administration and Project Management.

What You'll Do:

• Lead discussions on visionary topics such as bioengineering cryptography policy making and more.

• Work alongside AI teams DeFi researchers and policy-makers to explore innovative solutions.

• Contribute to defining the future landscape of AI-integrated societies through impactful research and discussions.

• Develop your PhD research or personal projects within our supportive environment guided by experienced mentors.

This is a paid internship.

Read more about the engineering groups you can be a part of on our website or connect with us directly on Discord .

Please note that we will continue to accept applications and will interview only the candidates that are the best fit for Nethermind . We look forward to reviewing your application and potentially welcoming you to our team.

If you don’t get picked the first time around don’t get discouraged! We are incredibly lucky to get extremely skilled and talented people applying and it often is a difficult choice to make. Just continue learning and developing your skills and try again in a few months.