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.
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