המקום בו המומחים והחברות הטובות ביותר נפגשים
Key job responsibilities
In this role you will:• Publish your innovation in top-tier academic venues and hone your presentation skills.
• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.
A day in the life
On a typical day in this role you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists on the team, and participate in team processes. You will follow your multi-agent optimization and reinforcement learning projects though the entire life cycle of design, implementation, evaluation, analysis, and will communicate your findings and results through publications in top-tier academic venues.
North Reading, MA, USA
Basic qualifications include:
• PhD in a relevant field, received within 2 years of starting the program
• Proven publication record in Machine Learning, Robotics, AI, Computer Science, Operations Research, or other related technical fields
• Experience in data science and quantitative research
• Proficiency in technologies relevant to multi-agent optimization, reinforcement learning, and controls.
Postdocs demonstrate the following preferred job qualifications:
• Ability to independently deliver results in a fast-paced environment
• Publications at top-tier, peer-reviewed conferences and/or journals
• Exceptional verbal and written communication skills
• Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
Required application materials:
• CV, which lists all peer-reviewed publications and conferences,
• Research statement that outlines your research achievements and future research interests, and
• A journal article or book chapter that demonstrates your domain expertise.
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