Job Description
We are seeking a highly motivated researcher to join our team for conducting cutting-edge theoretical and experimental research on super-resolution imaging for two- and three-point sources. The candidate will also explore the enhancement of super-resolution techniques using machine learning methods. This position offers the opportunity to collaborate with a dynamic team of researchers and contribute to advancements in imaging technologies.
Responsibilities:
Theoretical and Experimental Research:
Design and execute theoretical models collaborate on experimental setups and measurements for super-resolution imaging of two- and three-point sources.
Analyze and interpret experimental data to validate theoretical predictions.
Develop innovative methods to push the boundaries of super-resolution imaging.
Machine Learning Integration:
Investigate and implement machine learning algorithms to enhance super-resolution imaging techniques.
Collaborate with machine learning experts to integrate advanced computational methods into experimental workflows.
Technical Proficiency:
Utilize LaTeX for the preparation of technical documents research papers and presentations.
Employ Python and Matlab for data analysis simulation and algorithm development.
Use PowerPoint for creating engaging presentations.
Dissemination of Research:
Prepare and submit research findings to high-impact conferences and peer-reviewed journals.
Present research outcomes at national and international conferences workshops and seminars.
Qualifications
Doctoral degree in Quantum Physics Optics or related fields.
Strong research background in quantum physics.
Experience with optical imaging.
Experience with machine learning techniques.
Proficiency in LaTeX Python Matlab Microsoft Word and PowerPoint.
Excellent written and verbal communication skills.
Ability to work collaboratively in a multidisciplinary team environment.
Application Process
Interested candidates should submit the following materials:
A detailed CV highlighting relevant experience and publications.
A cover letter describing your research interests and how they align with this position.
Application Deadline: November 15th 2025.
For detailed information please contact Prof. Xiaofeng Qian at
Department
PhysicsCompensation Range
In compliance with the New Jersey Wage Transparency Act the annual base range for this position is $45000- $48500 . This range represents the Universitys good faith estimate of possible compensation at the time of posting. Stevens Institute of Technology determines compensation based on factors including the positions scope and responsibilities the candidates experience education skills internal equity market data and organizational considerations. The final salary will be set considering departmental budget qualifications and relevant credentials. This pay range represents base pay only and excludes additional forms of compensation such as incentives stipends or other applicable pay components. For a full overview of our benefits offerings please refer to the Stevens Institute of Technology Benefits Guidebook available at:General Submission Guidelines:
Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job.
Still Have Questions
If you have any questions regarding your application please contact .
EEO Statement:
Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including but not necessarily limited to race color religion creed sex national origin nationality citizenship status age ancestry marital or domestic partnership or civil union status familial status affectional or sexual orientation gender identity or expression atypical cellular or blood trait genetic information pregnancy or pregnancy-related medical conditions disability or any protected military or veteran status.
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