Position Summary: |
The Department of Graduate Computer Science and Engineering at Yeshiva University's Katz School of Science and Health invites applications for multiple tenure-track assistant/associate professors in Artificial Intelligence/Machine Learning, Data Analytics, Cybersecurity, and Computer Science for its graduate programs. This is an opportunity to pursue innovative research and development in these areas in a range of applications and to collaborate with faculty across disciplines, including biotech and health, IoT, mathematics, economics, and more. |
Position Responsibilities: |
Responsibilities include, but are not limited to:
- Pursuing innovative research and grants
- Collaborating with other researchers across the university in interdisciplinary and applied research
- Teaching and mentoring graduate students
- Leading co-curricular activities
- Building a thriving STEM graduate school through industry collaborations, community-based initiatives, and university service
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Experience & Education Background: |
- Ph.D. in computer science, AI, machine learning, or a related field. ABD candidates graduating before the fall 2025 semester are eligible
- Demonstrated expertise in both research and practice
- Proven teaching ability
- A strong industry network is a plus
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Skills & Competencies: |
- Ability to manage complex projects from start to finish in a fast-paced environment
- Excellent written and communication skills
- Strong collaboration and teamwork skills
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Application Instructions: |
Applicants must submit the following:
- Cover letter describing the applicant's experience related to the required qualifications
- CV, including publications and grants
- Research Statement
- Teaching Statement (a discussion of skills related to remote/online instruction is encouraged)
- Names and contact information for three references
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Salary Range: |
$135,000 - $165,000 |
About Us: |
The Katz School of Science and Health, with 1300 master's and doctoral students, is now the largest graduate school at Yeshiva University. Located in the heart of New York City, Yeshiva University is a US News and World Report Top 100 University.
We are research scientists, tech builders and entrepreneurs, and patient-centered clinicians working on problems that matter. We focus on industry sectors that are central to the modern economy: Artificial Intelligence, Biotechnology, Computer Science, Cybersecurity, Data Analytics, Digital Media, and Fintech, as well as Physician Assistant Studies, Nursing, Occupational Therapy, and Speech-Language Pathology.
Katz School faculty take an interdisciplinary approach to research and education, fostering the creativity, collaborative thinking and builder mindset required to take on today's toughest problems. Over the last five years, we have launched ten master's and doctoral programs with 92% graduation rates, 100% licensure pass rates, 95% post-graduation employment in high-paying careers, and students and alumni from over 30 countries.
The Katz School is a close-knit community with a big network, nestled in the heart of a big city. We are global in reach, with faculty and students from across the United States and around the world-and also deeply embedded in New York City's rich professional and social fabric. With a vibrant campus life and city at our fingertips, the Katz School is where bold, purpose-driven people come to create, connect and explore. Read aboutprojectsat Katz.
The mission of Yeshiva University - the world's flagship Jewish university - is to educate, empower and inspire our students to become the next generation of leaders, guided at all times by our core values. We do this through a transformative, world-class, and interdisciplinary education that is deep and broad and that cultivates in our students a sense of meaning, purpose and drive to make the world a better place - for themselves and for future generations.
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Equal Employment Opportunity: |
Yeshiva University is an equal opportunity employer committed to providing employment opportunities to all employees and candidates without regard to race, color, age, sex, national origin, disability status, or any other characteristic protected by federal, state or local laws. |
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