Post-Doc: Data Science & Machine Learning

Brain Power is actively seeking a highly skilled, dedicated, and collaborative Machine-Learning specialist or Data Scientist who is ready to contribute to our mission in meaningful ways and make a difference in the lives of people with brain-based challenges.

Industrial postdocs at Brain Power let you build both your academic and industrial CV. You can advance your career in two directions at the same time. Preserve your options for a career in traditional academic research or medicine, on the one hand; and medtech startups, pharma companies, and top-tier technology and engineering companies, on the other hand. Other possible careers include policy, hospital administration, and more.

As a member of our team, you will apply your technical skills to projects aimed to uncover new knowledge and next-generation therapies for autism, traumatic brain injury, and other brain-related conditions. You will conduct research in signal processing, computer vision, and machine/deep learning; and implement new state-of-the-art algorithms and/or hardware systems to support clinical research-and-development goals. You will have direct access to data collected from clinical populations, and can contribute to study design. You will be an author on publications resulting from your work. 

Responsibilities:

• Conduct research in signal processing, computer vision, and machine learning; implement new state-of-the-art algorithms and/or hardware systems to support clinical research and development goals.
• Work with experimentalists and software engineers on designing, implementing, and analyzing techniques in signal processing, computer vision, and machine learning.
• Contribute to and actively participate in the conception, design, and execution of research to address defined problems.
• Document methods, procedures, and results in compliance with ISO/FDA regulatory standards and recommendations.
• Pursue independent (but complementary) research interests and interact with a variety of scientists, clinicians, software engineers, designers, and product managers.
• Collaborate with others in a multidisciplinary team environment to accomplish research goals.
• Publish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars, and/or technical meetings.
• Perform other duties as assigned.

Required Background and Skills:

• Passion!
• Recent PhD in Engineering, Computer Science, Applied Mathematics, Biostatistics, or related field.
• Demonstrated state-of-the-art knowledge of one or more specialization topics within:
  • Signal processing/feature extraction — ideally with experience in clinical physiology (EEG, EMG, etc.), human kinematics, and/or interpretation of mobile accelerometry data.
  • Image processing/computer vision — particularly applications related to analysis of facial features (detection, recognition, affect classification), body motion tracking and movement classification, and/or real-time image effect processing (dynamic morphing/blending texture maps, “face replacement”).
  • Health informatics/biostatistics — particularly “big data” analysis of epidemiology or clinical/health records, or analysis of large scale non-clinical, public datasets to understand health-related trends.
• Experience using contemporary software and/or hardware tools for algorithm and/or system development for signal processing, image analysis, and machine learning.
• Demonstrated ability to develop independent research projects as demonstrated through publication of peer-reviewed literature.
• Demonstrated proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
• Demonstrated initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment.
• Startup mentality or strong

Preferred Background and Skills:

• 3+ years experience in at least one of the following: Java, Android, C, C++, or C#.
• 4+ years experience in at least one of the following: Matlab, R, Python.
• Experience applying algorithms to operate in real-time on a mobile/wearable device OS.
• Experience with cloud computing resources and data analysis techniques (e.g. Hadoop MapReduce, Spark).
• Demonstrated research interest in neurological and mental health, human physiology, clinical sciences, or education.
• Demonstrated proficiency in developing and writing technical proposals.
• Demonstrated ability to attract funding from technical and scientific R&D organizations.
• Experience in the AR/VR and/or assistive technology industry.
• Experience working with people with ASD.

Brain Power is an equal opportunity employer.

Please Apply here