Electrical Engineering Expert

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Overview

Handshake is recruiting exceptional doctoral students, candidates, and graduates in Electrical Engineering to join our AI research community. This program brings subject-matter experts together to enhance the capabilities of Large Language Models (LLMs) across various domains. The Handshake AI Fellowship program runs year-round, though project availability will vary by domain.

Details

• The position is remote and asynchronous - work independently from wherever you are.
• Flexible hours and the ability to work remotely, with a commitment of approximately 10 to 20 hours per week.
• Project work includes and is not limited to developing domain-specific prompts and evaluating LLM responses.
• Dedicate time researching topics that are interesting to you, with the assistance of AI.
• Learn new skills while contributing to the changing world of AI across various disciplines.
• Placement into a project will be dependent on project availability.

Qualifications

• Doctoral students and graduates (including those currently enrolled or in postdoctoral positions) in Electrical Engineering.
• Able to participate in primarily asynchronous work in partnership with leading AI labs.
• Believe your expertise can outmatch current AI systems in understanding and explaining key concepts in your field.

This program is open to U.S.-based doctoral students, candidates, and recent graduates with valid work or training authorization (e.g., F-1/OPT, J-1, H-1B). Participants are responsible for ensuring compliance with their visa conditions and confirming eligibility with their program or visa sponsor prior to applying.

• At this time, we are unable to accommodate candidates on STEM OPT who require an i-983. Fellows with already approved i-983s, as well as those on pre-grad OPT, CPT, J-1, or H-1B, are not impacted. This position may be subject to change in the future.