Mental Health & Well-being Computational Scientist

Machine Learning and AI     ·     Santa Clara Valley    ·    Full time

Summary

Posted: Nov 17, 2021
Weekly Hours: 40
Role Number: 200293528

At Apple, we strive to achieve surprise and delight for every one of our millions of customers around the world. Our team is seeking a research scientist who is passionate about the study of the brain and its application to building transformative neurotechnology within the mental health and well-being space. Candidates will have a solid research background and have made contributions to science through a combination of experimental and computational approaches. Candidates will also have successfully designed unique experiments, built quantitative models using behavioral and physiological data, and possess a knack for pulling out novel insights. We are looking for a teammate with excellent interpersonal skills, and who has a dedication to conducting impactful research in a fast-paced environment.

Key Qualifications

• 5-10+ years designing experiments to investigate the neural and physiological correlates of psychological well-being and mental health (including anxiety/depression), mindfulness, emotion regulation, and cognition
• Experience in using convergent methods across self-report, behavioral, and physiological data to draw conclusions and provide insights about human thought and behavior and how to apply to mental health and well-being
• Deep expertise in experimental design, statistical analysis, and predictive modeling, including advanced experience with signal processing, time-frequency analysis, and machine learning, and their application to psychological data and affective computing
• Hardware and software experience with multimodal data acquisition and instrumentation
• Experience with integrating psychological and physiological measures into brain-computer interfaces and neurofeedback experience a plus
• Fluent in numerical computing and proficient in various programming languages (e.g., C, Python, Matlab, ML and deep learning toolboxes)
• Ability to embrace uncertainty when working on challenging research questions.
• Excellent problem solving and creative thinking

Description

This is a multi-faceted investigator role that will require the candidate to be flexible across a variety of tasks in a highly collaborative group. The candidate will work closely with scientists and engineers to rapidly design and carry out experiments to uncover insights that drive technology development. The responsibilities for the role include: Design and execute user studies to investigate mental health-related questions Carry out quantitative analysis of raw data to pull out meaningful and actionable insights from complex multimodal signals Build machine learning models from large data sets to improve our understanding of mental health and well-being Work cross-functionally with other team members to translate these insights into transformative prototypes and demonstrations Present your findings to cross-functional partners and stakeholders

Education & Experience

• Doctorate in Systems, Cognitive or Computational Neuroscience, Quantitative Psychology, Biomedical Engineering, Applied Mathematics, or related expertise.
• 5+ years postdoctoral experience, industry research experience a plus

Additional Requirements

• Apple’s current mission statement is “Apple designs Macs, the best personal computers in the world, along with OS X, iLife, iWork and professional software. Apple leads the digital music revolution with its iPods and iTunes online store. Apple has reinvented the mobile phone with its revolutionary iPhone and App store, and is defining the future of mobile media and computing devices with iPad.”
• Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

Please click here to apply.