PhD Internship - Remote

As a PhD Intern at Meshcapade, your key responsibilities revolve around developing intelligent humanoids in a 3D simulated environment. You will create workflows for motion transfer from SMPL-X to humanoids like the Unitree G1, construct algorithms for cross-embodiment motion tracking, evaluate the effectiveness of these algorithms, and integrate motion generation models to improve on tracking capabilities. This experience will provide crucial research opportunities within both academic and industrial realms.

Ideal candidates for the PhD Internship at Meshcapade are expected to have a solid foundation in programming and machine learning, particularly in PyTorch and C++. Knowledge of neural networks, reinforcement learning, and robot physical simulation is highly beneficial. Additionally, familiarity with character animation, especially concepts such as SMPL and SMPL-X, is necessary, along with a track record of publishing research in conferences like CVPR, ICCV, or IROS.

Interns at Meshcapade will experience a flexible remote work culture that emphasizes diversity and inclusivity. The company values the unique perspectives each team member brings to the table, fostering an environment where innovation thrives. Collaboration with talented individuals across different backgrounds will not only enhance your learning but also contribute to exciting projects in the field of robotics.

Yes! One of the significant perks of the PhD Internship at Meshcapade is the potential for publication. Interns will have the chance to work on cutting-edge research and contribute findings that can lead to publication in reputable conferences and journals, providing a valuable addition to your academic portfolio.

The PhD Internship at Meshcapade has a duration of six months. This period will allow you to immerse yourself in meaningful projects that align with your academic pursuits while gaining valuable industry experience in the realm of humanoid robotics.

When discussing your experience with motion tracking algorithms, emphasize any projects or research you've conducted, detailing the methodologies you used, the challenges faced, and how you overcame them. Relate this back to the work you'll be doing at Meshcapade, highlighting how your previous experiences will enable you to contribute effectively.

Be specific about your proficiency in programming languages, especially C++ and Python. Provide examples of projects where you've applied these skills, particularly in relation to deep learning frameworks like PyTorch. This gives the interviewers insight into your technical capabilities and how they align with the internship requirements.

Discuss your systematic approach to problem-solving, such as breaking complex issues into manageable parts, researching existing solutions, and iterating on your ideas. It can be beneficial to share a specific example where your problem-solving skills led to a successful outcome, particularly in relation to robotics or motion tracking.

When addressing your familiarity with reinforcement learning, mention any specific courses taken, projects completed, or papers studied. Discuss how these experiences helped you understand the concepts and their applicability to the development of algorithms for humanoid robotics, such as those you’d be working on at Meshcapade.

Be sure to share any experiences with character animation techniques, perhaps mentioning software or frameworks you've used, such as SMPL or SMPL-X. Talk about how these techniques have been applied in real-world scenarios or research projects and how they can translate into the work you’ll be doing as a PhD intern.

Detail a specific project about humanoid robotics that you've worked on, covering your role and the impact of your contributions. Highlight the technologies and methodologies used, the key challenges you faced, and the outcomes achieved. This shows your direct relevance to the internship’s requirements.

Discuss the importance of maintaining clean code, proper documentation, version control with tools like Git, and collaborative coding practices. Relating this back to how it applies to the PhD internship will show that you are not only technically skilled but also mindful of industry-standard practices.

Express your commitment to staying current in the field by mentioning specific journals, conferences, or online communities you follow. You can also reference your own research contributions or papers published, which indicate your active involvement in the academic community.

Discuss your desire to acquire hands-on experience, the opportunity to collaborate with experienced professionals, and the ability to apply your theoretical knowledge in practical settings. Mention your interest in contributing to innovative projects and how you hope this internship will shape your career in humanoid robotics.

When answering this question, convey your passion for humanoid robotics and how Meshcapade’s mission aligns with your personal and professional goals. Highlight aspects of the company culture, the projects they’re working on, and the potential for growth within the organization that excite you.