Adjunct Professor

Adjunct Professor – Data Structures and Storage (Spring Semester, Urgent)¿Interesado en saber más sobre este trabajo? Desplácese hacia abajo y descubra qué habilidades, experiencia y cualificaciones académicas se necesitan.IE University – School of Science and Technology is seeking an experienced Professor/Adjunct Faculty to teach Data Structures and Storage for the Spring semester at our Segovia campus. This is an urgent hire, and we are looking for candidates who can accommodate a defined timetable and deliver an engaging, practice-oriented learning experience. Support will be offered from other professors teaching the course.Role overviewCourse:Data Structures and StorageTeaching load:30 class sessions(Spring semester)Start:Spring semester (ASAP onboarding)Format/Location:IE University (details to be confirmed based on program/campus and scheduling)Key responsibilitiesDeliver high-quality lectures and applied sessions covering core topics in data structures and storage systems.Prepare course materials (syllabus alignment, slides, readings, exercises, labs/assignments as applicable).Design and grade assessments (projects, quizzes/exams, participation) in line with IE academic standards.Hold office hours and provide timely feedback and student support.Coordinate with program leadership to ensure learning outcomes and timetable requirements are met.Required profileProven teaching ability at university level and/or strong industry training experience in data structures, storage, and data management technologies.Strong mastery of the course’s main topics, including:Data management in memory and disk and enterprise storage/management fundamentals.Multidimensional arrays (memory ordering, endianness, strides) and sparse matrices (e.g., COO, CSR), ideally with Python-based implementation.Data compression (lossy vs. lossless, run-length/entropy encoding, common codecs).Error detection and correction for storage/transmission (hash functions for checksums, CRC, FEC, parity, Hamming distance).Disk and memory management: storage technologies (HDD/SSD, magnetic/optical), filesystems, RAID (striping/mirroring/parity), business continuity/availability, and data serialization.Data center and cloud storage concepts (NIST cloud model; deployment/service models; block vs file vs object storage) plus virtualization/containers (e.g., VMware, Docker).NoSQL databases and denormalized data models: key-value, document, column-family, and graph databases (e.g., Redis, MongoDB/PyMongo) and related concepts such as sharding/partitioning.Awareness of current and emerging trends in data management (e.g., in-memory databases, blockchain/P2P storage, quantum computing, sustainability impacts).Ability to commit to and accommodate the assigned timetable across 30 sessions during the Spring semester.Preferred qualificationsPhD or Master’s in Computer Science, Software Engineering, Data Engineering, or related field.Industry experience building scalable systems and working with databases/storage platforms.Experience with hands-on labs, projects, and applied/experiential learning approaches.Why IE UniversityTeach motivated, international students at a highly innovative academic institution.Collaborate within a dynamic School of Science and Technology and contribute to industry-relevant curricula. xcskxlj How to applyPlease submit:CV (including teaching experience and relevant technical expertise)Brief statement of interest andavailability for the Spring timetableAny teaching evaluations, sample syllabus/materials, or portfolio (optional but valued)Apply via LinkedInor contact the IE University recruitment team through this posting.