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Adjunct Professor(Remote), Psychology, Public Policy and Law (CSFS) Candidate Pool

Worldwide Salaried Open

Adjunct Professor(Remote), Psychology, Public Policy and Law (CSFS) Alliant International University is a professional practice University committed to excellence in four areas: Education for Professional Practice, Scholarship, Multicultural and International Competence and Community Engagement. The University provides students with the highest quality of education through excellence and innovation in academic scholarship, applied training and research, and community service, particularly to underserved populations. Through its Mission, the University's goal is to equip students with the competencies they need to provide public benefit and make an impact in their communities by addressing major contemporary social issues. Core competencies of the University's training programs include cultural diversity, which is infused in courses and field placements and is manifest in the diversity of its students, faculty. The California School of Forensic Studies (CSFS) at Alliant International University is dedicated to graduating rigorously educated and trained professionals who impact society, public opinion, and policy by applying forensic behavioral science in the service of preventing, investigating, and mitigating conflict and violence. CSFS programs share a common approach to education and training: effectively adapting theoretical principles to real-world situations and supporting students to strengthen their professional identities as ethical, effective, and compassionate forensic practitioners. The PhD program in Psychology, Public Policy and Law is a fully online program. There are occasional synchronous meetings required of adjunct faculty. CSFS continually seeks subject matter experts to join our cadre of adjunct faculty. The following are the duties, responsibilities, skills and qualifications that Alliant requires from applicants for an Adjunct professor position:

  • Facilitating Classroom and Distance/Distributed Learning. Co

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