Software Development Instructor PhD Level

About the Role

PhD-level Software Development Instructor

Key Responsibilities

• Deliver

  high-quality classroom instruction

  in programming, software engineering, and emerging technologies.Integrate

  research-backed pedagogy

  and industry-relevant practices into classroom delivery.

• Mentor students

  in academic, career, and project development goals.
• Take ownership of

  curriculum planning, enhancement, and delivery

  aligned with academic and industry excellence.
• Drive

  research-led content development

  , and contribute to innovation in teaching methodologies.
• Support

  capstone projects

  ,

  hackathons

  , and

  collaborative research opportunities

  with industry.
• Foster a high-performance learning environment in classes of 70–100 students.
  
• Collaborate with cross-functional teams for continuous student development and program quality.
  
• Actively participate in

  faculty training, peer reviews

  , and

  academic audits

  .

Eligibility & Requirements

• Ph.D. in Computer Science, IT, or a closely related field

  from a recognized university.
• Strong

  academic and research orientation

  , preferably with publications or project contributions.
• Prior experience in

  teaching/training/mentoring

  at the undergraduate/postgraduate level is preferred.
• A deep commitment to

  education, student success

  , and continuous improvement.

Must-Have Skills

• Expertise in

  Python, Java, JavaScript

  , and advanced programming paradigms.
• Strong foundation in

  Data Structures, Algorithms, OOP

  , and

  Software Engineering principles

  .
• Excellent

  communication, classroom delivery

  , and presentation skills.
• Familiarity with academic content tools like

  Google Slides, Sheets, Docs

  .
• Passion for

  educating, mentoring

  , and shaping future developers.

Good to Have

• Industry experience or consulting background in

  software development or research-based roles

  .
• Proficiency in

  version control systems (e.g., Git)

  and agile methodologies.
• Understanding of

  AI/ML, Cloud Computing, DevOps, Web or Mobile Development

  .
• A drive to innovate in teaching, curriculum design, and student engagement.