Job Description:The Propagation Modeler develops, applies, and validates computational models used to simulate propagation of ultrasound energy within the skull and brain. Working in collaboration with faculty, researchers, students, and external partners, the incumbent supports research initiatives, sponsored projects, and educational activities through advanced modeling, simulation, data analysis, and technical reporting.
Responsibilities:- Adapt propagation models to support sponsored research programs dedicated to the estimation of in-vivo tissue properties.
- Develop and apply optimization algorithms to perform parameter estimation.
- Interact with sponsors of clinical studies to enable transfer of data in the form of CT images, MR thermometry temperature data, and transducer voltages.
- Collaborate with principal investigators (PIs), faculty, research staff, and students to develop first-ever databases of in-vivo tissue values.
- Assist in the preparation of grant proposals, technical reports, scholarly publications, and conference presentations.
- Document modeling methodologies, assumptions, and results to ensure reproducibility and compliance with research standards.
- Develop visualization tools and workflows to enable investigators and clinicians to acquire property values for the desired organ locations and disease state.
- Train and advise students and research personnel on modeling techniques, software applications, and data interpretation.
- Maintain awareness of emerging technologies, modeling methods, and best practices relevant to the field.
Requirements: - PhD in mechanical engineering, biomedical engineering, or related discipline is required.
- Two or more years of experience in transcranial ultrasound propagation modeling.
- Experience using computational tools and programming languages such as Python, MATLAB, R, Julia, or C++.
- Ability to analyze complex datasets and communicate results effectively.
- Strong written and verbal communication skills.
Preferred:- Experience supporting federally funded research projects.
- Experience with optimization methods.
- Familiarity with high-performance computing (HPC) environments and cloud-based computational resources.
- Record of contributing to technical reports, peer-reviewed publications, or conference presentations.
- Experience working in a university or research institution environment.
Additional Information:Salary: $100,000 annually.Note: Visa sponsorship is not available for this position.
Application Instructions:Interested candidates should submit the following:
- Resume or CV
- Cover letter/Letter of Interest describing the applicant's training, research interests, and career goals, and which addresses the specific reasons for your interest in this opportunity
- Names and contact information (address, email, phone) for two work and/or academic references who can provide recommendations
You may add additional files/documents after uploading your resume.
Applications will be reviewed on a rolling basis until the position is filled.
The anticipated start date is flexible and will be determined based on the selected candidate's availability.
After filling out the contact information, you will be directed to the upload page.
Returning Applicants - Login to your The Research Foundation for SUNY at Binghamton Careers Account to check your completed application.
Please contact us if you need assistance applying through this website.
URL: www.binghamton.edu/biomedical-engineering/
