Research Engineer

NU USA Northeastern University; Boston (MA); On-site; USD 68,000 - 96,000; Full time

Job summary

Northeastern University in Boston is seeking a motivated Research Engineer to support computational modeling and imaging efforts investigating non-ionizing electromagnetic fields effects on the human nervous system. You will develop head models and E-field simulations, and work with the Northeastern Center for Translational Neuroimaging to advance imaging analysis and reporting.

Requirements include a BS in a related field (MS preferred) and strong MATLAB/Python skills; familiarity with imaging

Qualifications

• BS required (MS preferred) in Electrical/Computer Engineering, Biomedical Engineering, Physics, or a closely related field.
• Experience with computational modeling, simulation, or imaging analysis is preferred.

Responsibilities

• Support creation and segmentation of head models for E-field simulation.
• Assist in developing and applying computational modeling pipelines.
• Support neuron modeling efforts, including implementation and testing of multi-compartment models.
• Support imaging data processing and analysis in coordination with project collaborators.
• Contribute to technical reporting, documentation, and dissemination of project results.

Skills

E-field simulation

Neuron modeling

Image segmentation

MATLAB

Python

Team collaboration

Attention to detail

Computational modeling

Education

BS in Electrical/Computer Engineering or related field

MS preferred

Tools

FreeSurfer

SPM

SimNIBS

ANSYS HFSS

Job description

About the Opportunity

Northeastern University is seeking a motivated Research Engineer to support computational modeling and imaging efforts investigating the effects of non-ionizing electromagnetic fields on the human nervous system. Working under the direction of Prof. Yarossi, this position will support the development of head models and E-field simulations, working alongside the Research Scientist and in collaboration with the Northeastern Center for Translational Neuroimaging.

Responsibilities

• Support creation and segmentation of head models for E-field simulation.
• Assist in developing and applying computational modeling pipelines.
• Support neuron modeling efforts, including implementation and testing of multi-compartment models.
• Support imaging data processing and analysis in coordination with project collaborators.
• Contribute to technical reporting, documentation, and dissemination of project results.

Education and Experience

BS required (MS preferred) in Electrical and Computer Engineering, Biomedical Engineering, Physics, or a closely related field. Experience with computational modeling, simulation, or imaging analysis is preferred.

Skills

• Familiarity with E-field simulation platforms such as SimNIBS, Sim4Life, CST Studio Suite, or ANSYS HFSS is a plus.
• Familiarity with neuron modeling tools such as NEURON, or neural mass modeling approaches, is a plus.
• Working knowledge of image segmentation and processing tools/pipelines (e.g., FreeSurfer, SPM, or similar) is beneficial.
• Solid programming and numerical computing skills (e.g., MATLAB, Python).
• Ability to work both independently and collaboratively within a multi-disciplinary research team.
• Strong attention to detail and interest in electromagnetic field effects on biological tissue.

In Compliance With

In compliance with federal government contract requirements, U.S. citizenship is required for this role. Security clearance is not required.

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.

Equal Opportunity Employment

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: $67,855.00 - $95,845.00 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.

About Northeastern

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 system—including 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide—serves as a platform for scaling ideas, talent, and solutions. The university’s 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. Northeastern’s 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 sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.