Machine Learning Quantum Computing Jobs in Houston, TX

Job Description
Special Instructions to Applicants: Please attach a cover letter and a curriculum vitae in the Supporting Documents section of the application.
About Rice:
Boasting a 300-acre tree-lined campus in Houston, Texas, Rice University is ranked among the nation's top 20 universities by U.S. News & World Report. Rice has a 6-to-1 undergraduate student-to-faculty ratio, and a residential college system, which supports students intellectually, emotionally and culturally through social events, intramural sports, student plays, lectures series, courses and student government. Developing close-knit, diverse college communities is a strong campus tradition, which is why Rice is highly ranked for best quality of life and best value among private universities.
Rice is also a wonderful place to work. Rice faculty, staff and students share values that are essential to our success as a healthy community. Those values guide our decisions and behaviors and shape Rice's culture. They come through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name - RICE - Responsibility, Integrity, Community and Excellence.
About George R. Brown School of Engineering and Computing
The George R. Brown School of Engineering and Computing ranks among the top 20 undergraduate engineering programs (US News & World Report) and is strongly committed to nurturing the aspirations of faculty, staff, and students in an inclusive environment.
We seek greater representation of women, minorities, people with disabilities, and veterans in disciplines in which they have historically been underrepresented; to attract international students from a wider range of countries and backgrounds; to accelerate progress in building a faculty and staff who are diverse in background and thought, and we support an inclusive environment that fosters interaction and understanding within our diverse community.
Position Summary
The Postdoctoral Associate in the Department of Electrical and Computer Engineering will support research in Dr. Ashok Veeraraghavan's Computational Imaging Lab focused on the development of computational imaging systems that integrate optics, sensors, electronics, signal processing, and machine learning. The selected candidate will contribute to interdisciplinary research involving the design, development, and evaluation of advanced imaging systems, including computational microscopy and related biomedical imaging applications. Responsibilities include conducting experiments, developing algorithms, analyzing imaging data, preparing manuscripts and presentations, contributing to research proposals, and collaborating with faculty, students, and research partners. The position will also provide opportunities to mentor junior lab members and further develop an independent research profile under the guidance of the principal investigator.
Workplace Requirements:
This is a full-time, exclusively on-site position that requires all duties to be performed in person at Rice University campus. Per Rice policy 440, work arrangements may be subject to change.
Hiring Range: $65,000
*Exempt (salaried) positions under FLSA are not eligible for overtime.
This position is a one-year term-limited position funded by grant, soft, and/or restricted funds. Continued employment is contingent upon the renewal of funding.
Requirements

• Ph.D. or other doctoral degree in Electrical and Computer Engineering, Biomedical Engineering or Bioengineering.
• No additional post-graduate experience required

Preferences

• Research experience in computational imaging, biomedical imaging, microscopy, optical system design, computer vision, machine learning, or related areas.
• Experience with imaging hardware, optical instrumentation, image reconstruction, or post-processing algorithms.
• Familiarity with clinical imaging, digital pathology, biological imaging, or related biomedical applications.
• Experience designing experiments, analyzing imaging data, and evaluating system performance.

Essential Functions

• Designs, develops, and evaluates computational imaging systems in support of sponsored research projects.
• Conducts research experiments involving imaging hardware, optical systems, sensors, electronics, algorithms, or related computational methods.
• Collects, organizes, analyzes, and interprets imaging data using appropriate experimental, computational, statistical, or machine learning methods.
• Develops, implements, tests, and refines image reconstruction, post-processing, computer vision, or machine learning algorithms.
• Operates, maintains, and troubleshoots laboratory equipment, imaging systems, and research prototypes relevant to assigned projects.
• Reviews scientific literature and applies relevant findings to the design and advancement of research activities.
• Prepares manuscripts, technical reports, presentations, figures, and other research materials.
• Contributes to grant proposals, progress reports, and other project-related documentation as needed.
• Collaborates with faculty, graduate students, postdoctoral researchers, undergraduate students, clinicians, and external partners on interdisciplinary research projects.
• Provides technical guidance and support to students and other research personnel working on related projects.
• Maintains accurate research records, follows laboratory safety protocols, and supports responsible use and maintenance of laboratory space and equipment.
• Performs all other duties as assigned.

Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits-overview
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Rice University is committed to ensuring Equal Employment Opportunity and welcoming the fullness of diversity into our candidate pools. Rice considers qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. Rice also provides reasonable accommodations to qualified persons with disabilities. If an applicant requires a reasonable accommodation for any part of the application or hiring process, please get in touch with Rice University's Human Resources Office via email at facstaffada@rice.edu for support.
If you have any additional questions, please email us at jobs@rice.edu. Thank you for your interest in employment with Rice University.