Meta AR/VR Job | Visiting Researcher, Methods/Models for Human Perception
Job（岗位）: Visiting Researcher, Methods/Models for Human Perception
Type（岗位类型）: Research
Citys（岗位城市）: Redmond, WA | Remote, US
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
We are looking for a skilled and motivated visiting scientist to join our team, whose mission is to build broad-coverage models of human perception and perceptually-driven outcomes. We are specifically looking for a candidate with experience in fields applicable to human-in-the-loop experimentation in human perception or related domains, and who can work with a team of researchers at the intersection between psychophysics, computational cognitive science, and machine learning. More broadly, the chosen candidate will work with a diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining, a Ph.D. degree in psychology, cognitive science, neuroscience, machine learning, statistics, data science, or a related area, or equivalent work experience.
2+ years research experience in an area with potential applications to human-in-the-loop experimentation in human perception and related domains. Example areas include computational cognitive science, computational neuroscience, psychophysics, active learning, deep Bayesian learning, Gaussian Process models, hierarchical/multitask models, or other relevant areas, as demonstrated via publications (conference or journal), open-source contributions, or similar venues.
1+ years of experience communicating and collaborating with other researchers, as demonstrated by collaborative projects or co-authored research presentations, material (publications/blog posts), or similar.
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Description（岗位职责）
Advance the state-of-the-art in human-in-the-loop experimentation for perception and perceptually-informed outcomes.
Consult and collaborate with partner and client teams to deploy experimentation tooling in real experiments and experiences.
Additional Requirements（额外要求）
Experience with crossing disciplinary boundaries, for example from machine learning and statistics to cognitive science, from applied mathematics to neuroscience, or similar, as demonstrated by collaborations across disciplinary domains.
Experience creating research software used by others, for example as part of an academic collaboration, an open-source project, or equivalent.
Experience with SciPy/NumPy and at least one automatic differentiation framework (PyTorch, TensorFlow, JAX, Stan, etc.) -- PyTorch preferred.
