Professor, Computer Science at Kibo School of Technology

Kibo is an online university that offers STEM degrees to African students, starting with computer science.  We’re on a mission to educate the next billion by using technology to deliver affordable and high-quality learning at scale.

We are recruiting to fill the position below:

Job Title: Professor, Computer Science

Location: Remote
Employment Type: Full-time

What You’ll Do

• We are hiring a Professor of Computer Science to focus on teaching and curriculum development. This is a full-time, non-tenure track, teaching faculty position with no requirements of research.
• This is Kibo’s first CS professor hire, and will be a core member of our academic team who will partner with Keno (CAO) and Rob (CS Curriculum) to define and execute on Kibo’s academic vision.

Specifically, you will:

• Build cutting-edge CS curricula that give learners a strong theoretical and practical foundation in computer science

  • Curate and create learning materials, help monitor/assess curriculum effectiveness, and contribute to improvements
  • Design synchronous and asynchronous active learning experiences that foster collaboration
  • Analyze curricula effectiveness, and make iterative improvements based on feedback and student performance
  • Inform the procurement and/or development of learning tools, and collaborate with technology teams to design, build, and assess learning tools

• Prepare and teach Computer Science courses with approved curricula

  • Hold synchronous, virtual class sessions and office hours with learners
  • Interact with learners online via discussion forums, chat, etc.
  • Provide personalized and substantive feedback on learner work
• Serve as a mentor for learners, and offer your unique personal and professional insights to help them grow
• Create an engaging, challenging, and supportive online learning environment for learners, and help Kibo achieve its goals for student learning and retention
• Build a collaborative academic team that supports adjunct faculty and teaching assistants
• Develop and maintain relationships with industry and academic partners, remain current in your academic discipline and maintain any licensure or continuing education requirements

Who You Are

• Excited by Kibo’s mission and learning principles: you want to help us reach thousands of students, and share our belief in active, relevant, peer-oriented learning
• Eager to build from scratch: we are a startup institution in full learning and iteration mode. You should be excited about trying new pedagogical and curricular approaches, and helping to define what a next-generation CS degree should look like
• Excited to innovate for quality at scale: our ambition is to radically expand access to high-quality education, and we want to build curricula, tools, and experiences that enable educators to reach many more students. We strive to be elite without being elitist. Our goal is to build online learning that is accessible to as many learners as possible while maintaining a high bar for quality.
• A learning engineer and life-long learner: you have strong pedagogical views, but you’re also adaptable and using new information/research to evolve your practices
• Effective collaborator: you’re eager to build with other instructors. Faculty at Kibo teach from common curricula and contribute to shared knowledge to help us scale our reach and quality
• Committed to cultural empathy: we want to take best-practices from wherever we find them, but also understand that cultural context is important in learning design
• Outcomes focused: you have evidence of teaching effectiveness, and a track record of using data to improve instruction
• Excellent written communicator: As a remote-first, globally distributed startup, we spend a lot of time communicating in writing and documenting our processes. Clear, structured, and well-organized writing is a must

Required Qualifications

• Ph.D. in Computer Science or closely related area
• Experience in online teaching

Preferred Qualifications

• Expertise in 3 or more of the following: Algorithms, Artificial Intelligence, Machine Learning, Databases, Programming Languages, Networks/Systems, Software Engineering, Visualization, User Interfaces, Data Science.

Application Closing Date
Not Specified.