Assistant Professor (Computer Science)

Position Title:Assistant Professor. Requisition Number: 036
Reports to:Program Chair Status: Full Time
Department: Computer Science Date: April 2022

About the University of Silicon Andhra


VISION:The University of Silicon Andhra will be known worldwide for its innovative programs that infuse and embed the rich traditions of India in its liberal arts-based research, sciences, and professional programs. UofSA will create an educational journey for its students and will educate aspiring leaders worldwide in all sectors of society.


MISSION: Founded upon the rich culture and values of India and rooted in the traditions of India, the University of Silicon Andhra (UofSA) serves its worldwide students and the local community by providing excellent research, professional, liberal arts, and sciences education in which the whole person scholar-practitioner learning model is integral to the learning experience. UofSA is an inclusive and diverse learning community that provides an opportunity to the students to actualize their potential as scholar-practitioners and to contribute to their local and global community with excellence, professionalism, and integrity.


University of Silicon Andhra is accredited by the Western Association of Schools and Colleges Senior College and University Commission (WSCUC). WSCUC is recognized and approved as an institutional accrediting agency by the US Department of Education and the Council for Higher Education Accreditation (CHEA).



REPORTING RELATIONSHIPS: Assistant Professor will report to the Program Chair.



  • Applicants must demonstrate a high potential for excellence in research and teaching. Successful candidates will develop and maintain an internationally-recognized research program and are expected to effectively supervise students, collaborate with other faculty members, obtain external funding, teach required and concentration courses in computer science.


Minimum Qualifications


Preference will be given to the candidates with an earned doctorate relevant to computer science, computer engineering, or a closely related field. However, the candidates who have completed their doctoral work except the Ph.D. dissertation, and are less than one term away from completing their Ph.D. dissertation will be considered. In addition, an understanding of and commitment to support the mission of University of Silicon Andhra are required. The applicant should possess teaching experience in computer science. The successful candidate must be able to offer their reflections on diversity, equity, and inclusion (DEI) and discuss how they would engage with and enhance department’s and UofSA’s efforts in this area.


Preferred Qualifications


·                 Experience in developing external partnerships to promote research and education, and facilitating continued improvement of the reputation and funding for the department

·                 Ability to teach courses in Computational Linguistics with reference to Indian/South Asian languages, machine learning, natural language processing

·                 Knowledge of ABET/WSCUC accreditation standards, procedures, and program review and assessment procedures

·                 Experience in higher education innovation

·                 Superior communication skills, especially the ability to be an articulate advocate for UofSA to all audiences

·                 Research and publications record

·                 Commitment to life-long learning.



Application Material:


Applicants should submit the following:

  • Cover Letter
  • Curriculum Vitae
  • Teaching Statement
  • Diversity Statement
  • Names and Contact Details of Three Academic/Professional References

Please send your application material to


EEO Statement


University of Silicon Andhra is committed to equal opportunity and complies with all applicable federal and state laws regarding nondiscrimination. The University does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, gender expression, religion, national origin, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, and employment practices.


Salary commensurate with experience.

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