Stevens Institute of Technology is seeking a researcher to conduct cutting-edge theoretical and experimental research on super-resolution imaging for two- and three-point sources, and explore the enhancement of super-resolution techniques using machine learning methods.
Requirements
- Experience with optical imaging.
- Experience with machine learning techniques.
- Proficiency in LaTeX, Python, Matlab, Microsoft Word, and PowerPoint.
- Strong research background in quantum physics.
- 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.
Responsibilities
- 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.
- 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.
- Utilize LaTeX for the preparation of technical documents, research papers, and presentations.
- Employ Python and Matlab for data analysis, simulation, and algorithm development.
Other
- Doctoral degree in Quantum Physics, Optics, or related fields.
- Excellent written and verbal communication skills.
- Ability to work collaboratively in a multidisciplinary team environment.
- Prepare and submit research findings to high-impact conferences and peer-reviewed journals.
- Present research outcomes at national and international conferences, workshops, and seminars.
