We are looking for a very enthusiastic researcher to join our team to conduct advanced theoretical and experimental research on the high -precision photography of two and three points. The filter will also explore the enhancement of high -resolution techniques using automated learning methods. This position provides the opportunity to cooperate with a dynamic team of researchers and contribute to progress in photography techniques.

Responsibilities:

Theoretical and experimental research:

• Designing and implementing theoretical models, cooperation in settings and experimental measurements, for high -precision photography of sources of two points and three points.

• Analysis and interpretation of experimental data to verify the validity of theoretical predictions.

• Developing innovative ways to push the boundaries of high -precision photography.

Automated learning integration:

• Check and implement automated learning algorithms to enhance high -resolution imaging techniques.

• Cooperation with automated learning experts to integrate advanced mathematical methods in the experimental workflow.

Technical efficiency:

• Take advantage of the latex to prepare technical documents, research papers and presentations.

• Python and Matlab employment to analyze data, simulation and algorithm development.

• Use PowerPoint to create attractive presentations.

Research published:

• Prepare research results and present them to high -influential conferences and magazines reviewed by the peer.

• The current research results in national and international conferences, workshops and seminars.

Qualifications

• Doctorate degree in quantum physics, optics, or relevant fields.

• Strong research background in quantum physics.

• Experience with visual imaging.

• Experience with machine learning techniques.

• The efficiency in the latex, bitoon, Matropt, Microsoft Word, and PowerPoint.

• Classified and pronounced communication skills are excellent.

• The ability to work cooperatively in the multidisciplinary team environment.

The application process
Interested candidates must provide the following materials:

• A detailed CV highlights the experience and relevant publications.

• A cover letter describing your research interests and how you are in line with this situation.

• The deadline for the application: November 15, 2025.

For detailed information, please call Professor Xiafeng Qian on xqian6@stevens.edu