Lecturer II (Data Science)

The Federal University Dutse | Jigawa, Nigeria

Full-Time Posted today 3 views

About the Role

The Federal University Dutse (FUD) invites applications from suitably qualified and dynamic academics for the position of Lecturer II in Data Science. Located in Dutse, the capital of Jigawa State, FUD is a fast-growing federal institution committed to academic excellence, innovative research, and community service. We aspire to be a technologically driven university with a diverse international faculty and student body, fostering global academic partnerships and cutting-edge research.

Key Responsibilities
  • Deliver engaging undergraduate and postgraduate lectures, tutorials, and practical sessions in Data Science and related computing disciplines.
  • Design, update, and develop comprehensive course curricula aligned with modern industry standards and academic benchmarks.
  • Conduct high-impact research, publish findings in reputable peer-reviewed journals, and secure research grants.
  • Supervise undergraduate and graduate student research projects, theses, and dissertations.
  • Provide academic advising, mentorship, and career guidance to students.
  • Participate in departmental, faculty, and university-wide committees, administrative duties, and community engagement initiatives.

Qualifications
  • Possession of a Ph.D. or a Master's degree in Data Science, Computer Science, Statistics, or a closely related field from a recognized university.
  • Demonstrated relevant teaching and research experience in higher education or industry.
  • Relevant professional certifications in data science, machine learning, or analytics will be an added advantage.
  • Strong publication record in reputable academic journals is highly desirable.
  • Excellent communication, interpersonal, and leadership skills.

Benefits
  • Competitive salary and benefits package in line with federal government public service structures in Nigeria.
  • Opportunities for professional development, academic conferences, and continuous research funding.
  • A vibrant, growing academic environment with access to regional metropolitan resources and collaborative networks.

Skills

Data Science Machine Learning Python R Statistics Higher Education Teaching Academic Research Curriculum Development
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