Associate Research Scientist
NU Boston Campus
Northeastern University
About the Opportunity
The Center for Signal Processing, Imaging, Reasoning and Learning (SPIRAL) at Northeastern University (NU) is seeking an Associate Research Scientist with a strong expertise in electrical and computer engineering, including physics, mathematics, signal processing, and machine learning demonstrated by a relevant Ph.D. degree and a scholarly record. For more information on the SPIRAL group and research: https://web.northeastern.edu/spiral/
The Associate Research Scientist will take a leading role in contemplating and conducting research, jointly with faculty and other postdoctoral research staff at SPIRAL. The Associate Research Scientist will lead projects and research teams under the broad theme of physiological signal processing, system modeling, and intervention design, with applications to a range of cognitive psychology, neuroscience, physiological, and biomedical problem domains. The Associate Research Scientist is expected to contribute to existing collaboration networks involving SPIRAL faculty, including the PEN (Psychologists, Engineers, Neuroscientists) Group at NU, and establish new collaborative research directions to expand the research activities and impact of SPIRAL under this theme. A significant component of the responsibilities for the role will include technical leadership of project teams funded by grants or contracts, mentoring of junior project personnel, superb execution of technical work to achieve impactful research outcomes and outstanding deliverables on schedule, including peer-reviewed publications. The candidate will be expected to develop research concepts, and help with proposals to seek external funding to support research activities.
NU offers an impressive benefits package, including multiple retirement plan options with extremely generous matching, as well as tuition waiver for classes and advanced degree programs. A full description of available benefits can be found on the NU website.
QUALIFICATIONS:
Education and Experience
- Required: Ph.D. in Physics, Mathematics, Engineering, or related field.
Required Skills/Qualities
- Advanced mathematics and physics knowledge with ability to apply to modeling/engineering.
- Advanced probability and information theory knowledge with the ability to apply to machine learning.
- Experience with neuroscience and cognitive psychology data modeling and analysis.
- Experience with programming in Python for machine learning implementation.
- Excellent oral and writing skills, for example demonstrated by scholarly publications.
Desired Skills/Qualities
- Experience with relevant software packages, such as PyTorch, scikit-learn, PsychoPy
Position Type
ResearchAdditional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Engineering Machine Learning Mathematics Physics Python PyTorch Research Scikit-learn
Perks/benefits: Career development Health care Wellness
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