Research Associate- Biometric Recognition

Dr. Masudul Imtiaz at Clarkson University seeks a highly skilled Post-Doctoral Scholar to contribute to cutting-edge research in biometric recognition at the AI Vision, Health, Biometrics, and Applied Computing (AVHBAC) laboratory and the Center for Identification Technology Research. The position is for 6 months, starting from Aug 18th.

The successful candidate will engage in the development, implementation, and evaluation of advanced machine learning and deep learning algorithms specifically focused on biometric systems. Research will encompass various biometric modalities, including fingerprint, face, iris, and voice recognition, and emphasize applications in security, identity verification, and healthcare contexts.

Minimum Qualifications:

* Ph.D. in Electrical and Computer Engineering, Computer Science, or related fields.
* Demonstrated expertise in machine learning and deep learning techniques.
* Proven experience in biometric recognition systems (e.g., fingerprint, facial recognition, iris, or voice biometrics).
* Strong record of scholarly publication, technical writing, and ability to communicate complex technical concepts effectively.

Preferred Qualifications:
* Experience with biometric dataset curation, algorithm benchmarking, and performance evaluation.
* Proficiency with Python, MATLAB, TensorFlow, PyTorch, or similar computational tools and frameworks.
* Ability to independently manage research projects and collaborate effectively within interdisciplinary teams.

The physical demands characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Health & Safety: All staff has a statutory responsibility to take reasonable care of themselves, others and the environment and to prevent harm by their acts or omissions. All staff is therefore required to adhere to the University's Health, Safety, and Environmental Policy & Procedures.

DISCLAIMER: The above statements are designed to indicate the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all duties, responsibilities, skills, and qualifications required of personnel so classified.

Special Instructions to Applicants: An equal opportunity/affirmative action employer, Clarkson actively seeks and encourages applications from veterans and people with disabilities.

All offers of employment are subject to the applicant successfully passing a background check (including, but not limited to, employment verification, educational and other credential verification, and criminal records