APPLIED COMPUTER VISION, NEURAL NETWORK SCIENTIST

The Jackson Laboratory
Location: 
Bar Harbor, Maine, USA
Job Type: 
Full Time
Closing Date: 
Sunday, December 31, 2017

Machine Learning and Computer Vision Scientist
(Application/Assistant/Associate/Full) 

About the position: The Jackson Laboratory in Bar Harbor, ME is seeking an exceptionally talented and highly motivated Computational Scientist to lead research efforts to use machine vision for mouse phenotyping. The Kumar Laboratory is a highly collaborative and interdisciplinary group of neuroscientists, engineers, statisticians, and geneticists looking to leverage recent advancement of neural network based computer vision to understand the genetic and neurobiological underpinnings of mental illnesses such as addiction, ADHD, and depression. Success in this position will lead to international recognition through publications and grant opportunities. 

The successful candidate will lead the development of neural network and deep learning based intelligent systems critical for health and disease diagnosis and treatment. The project involves, but is not limited to, deriving quantitative measurements and classification of mouse behavioral patterns from video data, and integration of behavioral data with genomics, electrophysiology, and genetic data. The successful candidate will work collaboratively with other scientists, including geneticists, statisticians, engineers, and neurophysiologists. They will have unique opportunities to make leading contributions to the machine learning and computer vision initiative at The Jackson Laboratory, including projects and grant applications in biomedical research. Ample opportunities are available for career and educational advancement. 

KEY RESPONSIBILITIES
Lead efforts in developing and deploying machine learning, deep learning, computer vision, artificial intelligence algorithms for automated quantitative mouse behavioral phenotyping.

Analyze big data (video, behavioral, genomics, neurophysiology) of mouse phenotyping and produce quantitative data amenable for downstream hypothesis driven neurogenetic studies.

Leverage internal and public data that are high-volume, high-dimensional from varying sources to discover testable patterns, anomalies, relationships and trends.

Work closely with other computer scientists, biostatisticians, engineers, and neuroscientists for relevant software development and data analysis

Collaborate in the development of new tools and algorithms in machine learning and computer vision for disease phenotyping.

Make leading contributions to the neural network based machine learning, computer vision, and artificial intelligence initiative at The Jackson Laboratory.

MINIMUM QUALIFICATIONS
PhD in Computer Science/Electrical Engineering specializing in Machine Learning and Computer Vision. PhD in other fields combined with work experience in the field of Machine Learning and Computer Vision will be considered.

Bachelor’s or Master’s degree in a field such as Computer Science, Computer Engineering, Statistics, Mathematics, or Physics with significant experience in Machine Learning and Computer Vision will also be considered.

Thorough understanding of machine learning algorithms including neural network (CNN, RNN, region proposal networks, un/semi- supervised approaches), random forests, classifiers, feature representations, AI/Artificial Intelligence and/or related techniques

Expertise in modeling temporal and sequential data, and multimodal data integration.

Advanced expertise in languages such as Python, R, C++, or D.

Experience contributing to scientific software development efforts to deliver computer vision pipelines, tools, and video/image data analyses.

Team player with excellent written and oral communication skills

APPLICATION INSTRUCTIONS:  Please include a cover letter along with your resume/CV. Applications without cover letters will not be considered. APPLY HERE:https://goo.gl/dfULTM