{"schemaVersion":"jobsearcher.job.v1","id":"ab9fad0b55453172f994d3b5","url":"https://jobsearcher.com/jobs/ab9fad0b55453172f994d3b5","canonicalUrl":"https://jobsearcher.com/jobs/ab9fad0b55453172f994d3b5","title":"Adjunct Instructor – Coding Dojo – Data Structures & Algorithms","description":"Position Description\nConsistent with and supportive of CTU’s mission (to provide industry-relevant higher education to a diverse student population through innovative technology and experienced faculty, enabling the pursuit of personal and professional goals), Adjunct Faculty members provide quality and innovative instruction and meaningful engagement with our students to successfully achieve the relevant course, program, and degree level outcomes and support their academic success.\nResponsibilities\nPrepare relevant, insightful, and engaging instructional materials and utilize existing course materials that support learning by CTU’s student population.\nProvide instruction in assigned courses (including applicable laboratory or work that is integral to the courses) that aligns with CTU’s curricula and outcomes, instructional modalities, course technologies, and faculty expectations.\nEngage and communicate with students to encourage their course participation and learning while maintaining mutual respect and professionalism.\nRelate professional/industry experience to CTU’s Professional Learning Model by the continuation of professional/technical skills development, introduction of professional/industry perspectives into courses, and active awareness of professional/industry trends and opportunities.\nMaintain accessibility for and provide timely responsiveness to students, academic/faculty leadership, and University staff by telephone, CTU e-mail, and other appropriate means of communication.\nEstablish and maintain weekly office hours for student questions/support.\nAssess student performance on course assignments and provide assignment feedback to support continued student growth and development.\nMaintain appropriate documentation of student course activities.\nWork with appropriate CTU teams (e.g., advising, academic/faculty leadership, and University staff) and leverage appropriate information to identify and support students who may be exceptional or challenged in their coursework and/or educational endeavors.\nRefer students to appropriate co-curricular and extra-curricular resources (e.g., advising, tutoring, library, learning centers, and career services).\nParticipate in and contribute to CTU’s academic governance through attendance at appropriate University/college/program meetings and participation in the academic assessment and institutional effectiveness process (including completion of appropriate surveys and participation in continuous improvement initiatives).\nSuccessfully complete required new faculty certification training, course-specific technology/pedagogical training, annual ethics and information technology policy training, and annual faculty development requirements.\nProvide periodic required documentation of ongoing and updated licensures, certifications, immunizations (as appropriate to the specific college/program), scholarship, and academic/professional experience (e.g., CVs/resumes).\nWork closely with Program Chair and/or Lead Faculty (as appropriate).\nPerform other responsibilities and abide by the appropriate policies and procedures contained in CTU’s Faculty Handbook.\nRequired Skills\nStrong organizational and time management skills, with proficiency in meeting deadlines and urgency in responding to questions/requests.\nStrong interpersonal and oral presentation/written communication skills.\nProficiency in working effectively, cooperatively, and flexibly in a team environment.\nProficiency with standard office and mobile applications (i.e., word processing, presentations, e-mail, calendaring, teleconferencing, text messaging, personal computers, and smart phones/tablets).\nMinimum Qualifications\nMaster’s degree in Computer Science, Software Engineering, or a closely related field from an institution accredited by an agency recognized by the U.S. Department of Education (or international equivalent).\n3+ years of professional experience in software development or research, with a focus on data structures and algorithms.\nTeaching experience at the college or university level in data structures, algorithms, or computer science courses.\nStrong understanding of core data structures (e.g., arrays, linked lists, stacks, queues, trees, graphs, hash tables) and algorithms (e.g., sorting, searching, dynamic programming, graph algorithms).\nDemonstrated ability to design and implement efficient algorithms and data structures in programming languages such as Java, C++, or Python.\nUnderstanding of algorithmic analysis, including time complexity and space complexity (Big-O notation).\nPreferred Qualifications\nDoctorate (Ph.D.) in Computer Science, Software Engineering, or a closely related field from an institution accredited by an agency recognized by the U.S. Department of Education (or international equivalent).\n5+ years of professional experience in software development, with extensive experience designing and implementing algorithms and data structures for complex systems.\nExpertise in advanced algorithmic concepts, such as graph theory, greedy algorithms, divide and conquer, and backtracking.\nKnowledge of modern algorithmic paradigms, such as machine learning algorithms, parallel algorithms, and distributed systems.\nRelevant certifications (e.g., Data Structures and Algorithms Specialization from Coursera, Google IT Support Professional Certificate, or similar certifications).\nAbility to teach both theoretical and applied aspects of algorithms and data structures, including their real-world applications and optimizations.\nStrong communication skills to explain algorithmic principles and problem-solving techniques clearly and effectively.\nWhat we offer*\nCTU generally compensates its Adjunct Faculty on a per quarter credit hour rate that takes into consideration a variety of factors, including campus (online and campus), degree level (undergraduate and graduate), and faculty rank (Instructor, Assistant Professor, Associate Professor, and Professor); the base rate for an Adjunct Faculty can range between $354 and $545 per credit hour.\n401(k) savings plan with company match\nEmployee Stock Purchase Plan (ESPP)\nCompany paid tuition assistance – subject to approval\nEmployee Assistance Program (EAP)\nAdoption assistance\nAdditional ancillary programs may be available\nSome benefits may vary by jurisdiction and are subject to eligibility.","company":"Perdoceo Education","rawCompany":"perdoceo education","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-04-12T21:23:40.211Z","occupations":[{"code":"25-1021.00","title":"Computer Science Teachers, 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the pursuit of personal and professional goals), Adjunct Faculty members provide quality and innovative instruction and meaningful engagement with our students to successfully achieve the relevant course, program, and degree level outcomes and support their academic success.\nResponsibilities\nPrepare relevant, insightful, and engaging instructional materials and utilize existing course materials that support learning by CTU’s student population.\nProvide instruction in assigned courses (including applicable laboratory or work that is integral to the courses) that aligns with CTU’s curricula and outcomes, instructional modalities, course technologies, and faculty expectations.\nEngage and communicate with students to encourage their course participation and learning while maintaining mutual respect and professionalism.\nRelate professional/industry experience to CTU’s Professional Learning Model by the continuation of professional/technical skills development, introduction of professional/industry perspectives into courses, and active awareness of professional/industry trends and opportunities.\nMaintain accessibility for and provide timely responsiveness to students, academic/faculty leadership, and University staff by telephone, CTU e-mail, and other appropriate means of communication.\nEstablish and maintain weekly office hours for student questions/support.\nAssess student performance on course assignments and provide assignment feedback to support continued student growth and development.\nMaintain appropriate documentation of student course activities.\nWork with appropriate CTU teams (e.g., advising, academic/faculty leadership, and University staff) and leverage appropriate information to identify and support students who may be exceptional or challenged in their coursework and/or educational endeavors.\nRefer students to appropriate co-curricular and extra-curricular resources (e.g., advising, tutoring, library, learning centers, and career services).\nParticipate in and contribute to CTU’s academic governance through attendance at appropriate University/college/program meetings and participation in the academic assessment and institutional effectiveness process (including completion of appropriate surveys and participation in continuous improvement initiatives).\nSuccessfully complete required new faculty certification training, course-specific technology/pedagogical training, annual ethics and information technology policy training, and annual faculty development requirements.\nProvide periodic required documentation of ongoing and updated licensures, certifications, immunizations (as appropriate to the specific college/program), scholarship, and academic/professional experience (e.g., CVs/resumes).\nWork closely with Program Chair and/or Lead Faculty (as appropriate).\nPerform other responsibilities and abide by the appropriate policies and procedures contained in CTU’s Faculty Handbook.\nRequired Skills\nStrong organizational and time management skills, with proficiency in meeting deadlines and urgency in responding to questions/requests.\nStrong interpersonal and oral presentation/written communication skills.\nProficiency in working effectively, cooperatively, and flexibly in a team environment.\nProficiency with standard office and mobile applications (i.e., word processing, presentations, e-mail, calendaring, teleconferencing, text messaging, personal computers, and smart phones/tablets).\nMinimum Qualifications\nMaster’s degree in Computer Science, Software Engineering, or a closely related field from an institution accredited by an agency recognized by the U.S. Department of Education (or international equivalent).\n3+ years of professional experience in software development or research, with a focus on data structures and algorithms.\nTeaching experience at the college or university level in data structures, algorithms, or computer science courses.\nStrong understanding of core data structures (e.g., arrays, linked lists, stacks, queues, trees, graphs, hash tables) and algorithms (e.g., sorting, searching, dynamic programming, graph algorithms).\nDemonstrated ability to design and implement efficient algorithms and data structures in programming languages such as Java, C++, or Python.\nUnderstanding of algorithmic analysis, including time complexity and space complexity (Big-O notation).\nPreferred Qualifications\nDoctorate (Ph.D.) in Computer Science, Software Engineering, or a closely related field from an institution accredited by an agency recognized by the U.S. Department of Education (or international equivalent).\n5+ years of professional experience in software development, with extensive experience designing and implementing algorithms and data structures for complex systems.\nExpertise in advanced algorithmic concepts, such as graph theory, greedy algorithms, divide and conquer, and backtracking.\nKnowledge of modern algorithmic paradigms, such as machine learning algorithms, parallel algorithms, and distributed systems.\nRelevant certifications (e.g., Data Structures and Algorithms Specialization from Coursera, Google IT Support Professional Certificate, or similar certifications).\nAbility to teach both theoretical and applied aspects of algorithms and data structures, including their real-world applications and optimizations.\nStrong communication skills to explain algorithmic principles and problem-solving techniques clearly and effectively.\nWhat we offer*\nCTU generally compensates its Adjunct Faculty on a per quarter credit hour rate that takes into consideration a variety of factors, including campus (online and campus), degree level (undergraduate and graduate), and faculty rank (Instructor, Assistant Professor, Associate Professor, and Professor); the base rate for an Adjunct Faculty can range between $354 and $545 per credit hour.\n401(k) savings plan with company match\nEmployee Stock Purchase Plan (ESPP)\nCompany paid tuition assistance – subject to approval\nEmployee Assistance Program (EAP)\nAdoption assistance\nAdditional ancillary programs may be available\nSome benefits may vary by jurisdiction and are subject to eligibility.","datePosted":"2026-04-12T21:23:40.211Z","dateModified":"2026-04-12T21:23:40.211Z","hiringOrganization":{"@type":"Organization","name":"Perdoceo Education","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ab9fad0b55453172f994d3b5"},"url":"https://jobsearcher.com/jobs/ab9fad0b55453172f994d3b5"}}