Postdoctoral Researcher (PhD) - Human Inspired AI Responsibilities
Publishing state-of-the-art research papers in both high impact machine learning and cognitive science outlets.
Conducting independent research that investigates how AI can improve the science of learning in biological organisms and vice versa.
Open sourcing high quality code and reproducible results for the community.
Minimum Qualifications
Currently has, or is in the process of obtaining, a PhD in mathematics, statistics, computer science, cognitive or language science with a strong background in both theoretical and empirical disciplines.
Deep interest in cross-disciplinary communication towards conducting research in human inspired AI.
Evidence of research background with publications in top-tier conferences/journals in the related fields.
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications
Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as publications in *ACL, top speech and language conferences and/or top cognitive (neuro)science journals.
Contributions to affinity workshops at machine learning conferences (e.g. NeurIPS, ICML) and/or cognitive science conferences (ICIS, CogSci, etc) welcome.
Experience building systems based on machine learning and/or deep learning methods.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Experience working and communicating cross functionally in a team environment.