Associate Research Scientist

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 Research Additional 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. 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. Compensation Grade/Pay Type: 109S Expected Hiring Range: $66,851.00 - $94,427.75 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change. Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact. Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The systemwhich includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwideserves as a platform for scaling ideas, talent, and solutions. The universitys residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver. Northeasterns personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectorsaligned around solving todays highly interconnected global challenges and focused on transformative impact for humankind.