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  • Post Doctoral Researcher in Super-Resolution Imaging
    Physics Department
    Stevens Institute of Technology

    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 xqian6@stevens.edu


 


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