Assistant Professor in Computer Science

Job Summary:

The Assistant Professor in Computer Science is responsible for delivering high-quality teaching, conducting research, and contributing to the academic life of the department. The ideal candidate will have a strong academic background in computer science, a commitment to fostering student success, and the ability to advance research in areas such as artificial intelligence, machine learning, data science, software engineering, cybersecurity, or other relevant fields.

Key Responsibilities:

Teaching and Instruction: Plan, develop, and deliver undergraduate and graduate-level courses in computer science, including lectures, labs, seminars, and tutorials. Ensure courses are engaging, effective, and up-to-date with current industry trends.
Curriculum Development: Contribute to the development and revision of course content, syllabi, and assessments. Align teaching materials with academic standards and emerging trends in computer science.
Research and Scholarship: Conduct original research in computer science, publish findings in peer-reviewed journals and conferences, and contribute to the advancement of knowledge in the field. Secure research funding through grants and collaborations.
Student Supervision and Mentorship: Advise and mentor students on academic and career development. Supervise graduate and undergraduate research projects, theses, and dissertations.
Service and Collaboration: Participate in departmental meetings, faculty committees, and university activities. Collaborate with other faculty members on research, teaching, and service initiatives. Contribute to the development of the department’s strategic goals.
Assessment and Feedback: Develop, grade, and provide feedback on assignments, exams, and projects. Ensure that assessments reflect learning objectives and industry standards.
Professional Development: Stay current with developments in computer science, including emerging technologies and research trends. Participate in conferences, workshops, and professional development opportunities.
Community Engagement: Contribute to the academic and professional community, including involvement in outreach programs, industry collaborations, and public engagement in computer science.

Qualifications:

Education: Ph.D. in Computer Science or a closely related field (or expected completion within a year of appointment).
Experience: Proven experience in teaching computer science at the university level is preferred. A record of research, with publications in top-tier journals or conferences, is highly desirable.
Skills:
- Strong knowledge of core computer science areas such as algorithms, data structures, programming languages, software engineering, and databases.
- Expertise in specialized fields such as artificial intelligence, machine learning, cybersecurity, data science, computer networks, or cloud computing.
- Effective communication and teaching skills, with the ability to explain complex concepts clearly to students.
- Research skills with a strong publication record or clear potential for publication in high-impact journals.
- Proficiency in programming languages such as Python, Java, C++, or others, depending on the area of expertise.
- Familiarity with modern teaching tools, learning management systems, and educational technology.
Additional Qualities:
- A passion for teaching and mentoring students.
- Strong problem-solving skills and ability to work both independently and collaboratively.
- Strong organizational and time-management skills, with the ability to balance teaching, research, and administrative duties.

Work Environment:

Academic setting, including classrooms, laboratories, and office spaces.
Full-time position, typically requiring a combination of teaching, research, and service activities.
Opportunities to engage in collaborative research with faculty members, industry, and other institutions.
Faculty members are expected to participate in the university’s academic and extracurricular events and committees.
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