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Adjunct Instructor in Computer Science and Data Science (Immediate Appointment) - Madrid

Schiller International University

Madrid permanent

Posted: January 21, 2026

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Quick Summary

Teaching and leading a state-of-the-art Immersive Technology Lab, fostering collaboration among students, colleagues, industry partners, and researchers to redefine the engagement of Computer Science, Data Science and their applications.

Job Description

Your mission:
We invite visionary PhD holders and MSc scholars in Computer Science, Applied Mathematics, Financial Mathematics, Statistics and Data Science, with practical teaching experience to join us at Schiller International University in shaping the future of experiential and project-based education. The instructor will have the opportunity not only to teach but also to lead a state-of-the-art Immersive Technology Lab, fostering collaboration among students, colleagues, industry partners, and researchers to redefine the engagement of Computer Science, Data Science and their applications.
Only candidates in Madrid will be consider for this position.


Tasks and Responsabilities:
• Demonstrate leadership to students in immersive, hands-on lab work and engage students in real-world, integrative projects.
• Promote the university’s vision, to training international future-ready graduates with cutting-edge immersive technologies in STEM and other disciplines.
• Organize seminars, hackathons, coding festivals and networking events for students to connect directly with industry, colleagues and peers. 
• Responds to student inquiries in a timely manner, facilitating discussions and relevant guidance in accordance with university policy, utilizing university assigned email account.
• Maintain announcement and communication schedule in each course in a timely manner.
• Grade and assess student work using approved rubrics, ensuring fairness and accuracy.
• Provide timely and constructive feedback on summative and formative assessments to students via Blackboard with clear explanation to grading.
• Address academic concerns such as academic integrity issues, grade disputes, and challenges within established timelines.
• Monitor student progress through our learning management software (Blackboard) tools, identify at-risk students, and collaborate with our academic advisor and the Associate Dean of STEM to provide support for successful course completion.
• Fulfill academic and administrative duties, including documentation, compliance with policies, and participation in faculty meetings and training as well as promoting constructive collaboration with colleagues.
• Promote integrity and professionalism by adhering to Schiller International University policies, handbooks, and accreditation requirements.
• Provide support to innovation by sharing ideas on good practices, integrating e-books and digital tools into student engagement strategies.
• Other responsibilities as assigned by the Associate Dean of STEM, Chief Academic Officer / Provost and /or Campus Director.


Your Profile:
• Terminal degree (PhD) in Computer Science, Applied Mathematics, Artificial Intelligence, Human-Computer Interaction, or related fields.
• Experienced in Programming pedagogy, machine learning, robotics, immersive technology.
• Expertise in hands-on teaching in a virtual laboratory, industry collaboration, and ideally some published work in immersive technologies will be an advantage.
• Innovative, student-centered, and comfortable bridging academia and applied industry skills.
• 3-5 years of professional experience at university level teaching preferred (desirable)
• Practical experience with LMS (Blackboard) or comparable e-learning tools (desirable but not a requirement) 
• Industry experts and professionals with PhDs and interested in academia are encouraged to apply.
• Postdoctoral candidates and recent postdocs working in immersive computing and AI research groups are encouraged to apply.
• Candidates able to teach the following courses are invited to apply as soon as possible: Data Structures and Algorithms, IT Project Management, Web Application Development, Computer Architecture, Mobile Application, Digital Analytics, Statistics and College Algebra.

Language Skills 
  
Either native English speaker or proficiency level of English competency. Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the public.

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