Postdoctoral Scholar - Machine Learning

Stanford University

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The Wall Lab in the Department of Pediatrics, Division of Systems Medicine, and Department of Biomedical Data Science at Stanford University seeks a talented, highly motivated postdoctoral researcher with a background in machine learning and/or mobile and wearable computing. The Wall Lab is developing software for platforms including mobile phones and Google Glass to support AI-driven techniques to rapidly diagnose, track, and treat autism.

Open to U.S. applicants only. 

Responsibilities for this position include a combination of:

●      Developing mobile software for Android, iOS, or Google Glass platforms

●      Developing deep-learning approaches for insight and analysis about human behavior from video

●      Machine Learning: use your expertise in statistics and machine learning to analyze messy real-world data sets (mainly image/video) and then create solutions that are general, repeatable, and automated

●      Make it easy to get high quality, automated, results without expert intervention. Build scalable products and reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate.

●      Developing computational and algorithmic approaches to understand and characterize speech and vocalizations

●      Interact cross-functionally: work with people across the team to find creative solutions and deliver them

●      Skilled at data visualization and presentation

The candidate will be called upon to present work at national and international research conferences.

Required Qualifications:

●      Ph.D. in Computer Science, Information Science, Biomedical Data Science, Mathematics, Statistics, or a related technical discipline.

●      Experience with Computer Vision and Deep Learning architectures (CNNs, RNNs, etc).

●      Strong foundation in machine learning and data science.

●      Programming skills with proficiency in Python, Java, and/or R.

Desired Qualifications:

●      Experience with cloud development ecosystems – Google or AWS.

●      Experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, and/or Keras.

●      Experience with mobile app development for Android and/or iOS platforms.

●      Experience with speech processing or audio signal processing.

●      Ability to present/visualize outputs to multidisciplinary audience.

Required Application Materials:

●      Statement of Interest, CV, and list of 3 references

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1265 Welch Rd

Stanford , United States