Assistant Professor - IT (Data Science) Job Description Template
The Assistant Professor in IT (Data Science) will be an integral part of our academic team, focusing on research, teaching, and service. The role involves developing and delivering high-quality educational content, guiding students in their academic and research endeavors, and participating in scholarly activities.
Responsibilities
- Conduct cutting-edge research in data science and related fields.
- Teach undergraduate and graduate courses in IT and Data Science.
- Develop new courses and update existing course materials.
- Mentor and advise students on academic and research projects.
- Publish research findings in top-tier conferences and journals.
- Collaborate with colleagues on interdisciplinary research projects.
- Participate in departmental, college, and university committees.
- Seek external funding through grants and research proposals.
Qualifications
- Ph.D. in Computer Science, Information Technology, Data Science, or a related field.
- Strong research background with a record of publications.
- Experience in teaching and curriculum development at the undergraduate and graduate levels.
- Excellent communication and interpersonal skills.
- Ability to work collaboratively and contribute to a team.
- Demonstrable experience in obtaining research funding is a plus.
Skills
- Machine Learning
- Statistical Analysis
- Big Data Technologies (Hadoop, Spark)
- Programming Languages (Python, R, Java)
- Data Visualization
- Database Management (SQL, NoSQL)
- Cloud Computing
- Research Methodologies
Frequently Asked Questions
An Assistant Professor in IT Data Science typically engages in teaching undergraduate and graduate students in data science-related courses. They conduct research in areas such as machine learning, big data analytics, and information systems. Additionally, they publish scholarly papers in reputed journals, guide student projects, and participate in departmental committees.
To become an Assistant Professor in IT Data Science, an individual usually needs a Ph.D. in Computer Science, Data Science, or a closely related field. Pursuing postdoctoral research and gaining teaching experience is beneficial. Candidates should also develop a strong portfolio of research publications and demonstrate effective classroom management skills.
The average salary for an Assistant Professor in IT Data Science varies widely based on the institution, location, and the candidate's experience. Typically, it compensates level of education, research accomplishments, and teaching effectiveness. Salaries can fluctuate, but they are generally competitive, reflecting the demand for expertise in data science.
Essential qualifications for an Assistant Professor position in IT Data Science include a Ph.D. in a related field, substantial research experience, and a track record of publications in accredited journals. Additionally, experience in funded research projects and demonstrated excellence in teaching and mentoring students is often required.
An Assistant Professor in IT Data Science must possess strong analytical and mathematical skills, expertise in programming languages such as Python and R, and familiarity with data processing tools. Responsibilities include developing curriculum, conducting research, publishing findings, and mentoring students, while keeping pace with technological advancements.