Quantitative Systems Neuroscientist PhD Intern

Santa Clara Valley (Cupertino), California, United States
Students

Summary

Posted: May 14, 2019
Role Number: 200059097
At Apple, we strive to achieve surprise and delight for every one of our millions of customers around the world. One of the goals of our internship program is to identify candidates for future full-time employment. The Technology Investigation Team is currently looking for a neuroscientist who is passionate about building advanced algorithms for performing inference on complex biological systems. We expect that you have strong research experience and have made original contributions to both basic science and to the development of novel data analytical methods. You are an expert in navigating large and noisy data sets, embrace uncertainty, and have a strong foundation in machine learning and numerical computing. You are an excellent teammate with strong interpersonal skills, and have a dedication to conducting impactful research in support of neurotechnology development.

Key Qualifications

  • The ideal candidate will have at least some of the following:
  • - 4 years of graduate-level research carrying out data driven algorithm design, where you have continually demonstrated that you can translate exploratory data analyses into robust ‘decoding’ models
  • - Experience in collecting, organizing and analyzing very large scale data sets from animal models, human subjects, or other complex systems
  • - 5+ years applying statistical and signal processing, time series analysis, linear algebra, and image processing methodologies to investigate multimodal datasets
  • - Strong theoretical and applied background in some or all of: neural networks, unsupervised/supervised learning, neural coding and bio-inspired computation, graph theory, optimization theory, information theory, and control and dynamical systems
  • - Fluent in numerical computing, prototyping and ML tools (e.g., Python, Matlab, ML and deep learning toolboxes including TensorFlow, Caffe, etc.)
  • - Hardware and software experience with multimodal data acquisition, instrumentation, and human-machine interfaces is a plus
  • - Knowledge of perceptual/behavioral evaluations and physiological measurement is desired
  • - Excellent programming, problem solving and debugging skills
  • - Prototyping experience a plus

Description

This is a multi-faceted scientific role that will require you to be versatile across a variable set of tasks in a highly collaborative environment. We work closely as a group of scientists and engineers to rapidly carry out studies that help drive research and development. You will have the following responsibilities: - You will carry out extensive analytics that aim to pull out meaningful and actionable insights from complex multimodal datasets - You will harness your insights to design multimodal inference algorithms - You will understand and help to build state of the art data acquisition systems - You will help to architect and port real-time algorithms to a variety of platforms - You will build analytical tools that will be used by other members of a cross-functional team

Education & Experience

We are looking for an advanced doctoral student (PhD) in Systems or Computational Neuroscience, Biomedical Engineering, EE/CS, Applied Mathematics, or related expertise. Applicants who could potentially join our team within one year of the end of the internship are preferred.

Additional Requirements

  • We are looking for an intern to start September 2019