Stanford University School of Medicine, Department of Pediatrics and Division of Systems Medicine

Position ID:Stanford University School of Medicine-Department of Pediatrics and Division of Systems Medicine-POSTDOCTORALSCHOLAR [#14142]
Position Title: Postdoctoral Scholar in Machine Learning
Position Type:Other
Position Location:Stanford, California 94305, United States
Subject Area: Computer Science
Appl Deadline:2019/08/30help popup (posted 2019/07/30, listed until 2019/08/30)
Position Description:    

*** the list date or deadline for this position has passed, and no new applications will be accepted. ***

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. 

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: 
● Cover Letter 
● Statement of Interest 
● Curriculum Vitae 
● Contact information from 3 references 

https://wall-lab.stanford.edu/

How to Submit Application Materials: 
Submit to "Heidi Chau; hchau16@stanford.edu" with subject title "Machine Learning Postdoc Position – First Name, Last Name" . Heidi is the administrative associate who supports Dr. Wall. Please address all supporting docs to Dr. Wall, if applicable.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
https://wall-lab.stanford.edu/
email
 
1265 Welch Rd.

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