Assistant Professor - Statistics

Qualifications

Education and Experience Requirements

Education

• PhD in Statistics or Applied Statistics from a recognized institution is required.
• Post-graduate certificate in education teaching methods, or equivalent, is desirable

Experience

• A minimum of three (3) years full-time university-level teaching experience following the completion of PhD studies
• A combination of recent, relevant academic and/or professional experience may be considered an asset

Teaching & Learning

• Commitment to UDST’s mandate of excellence in applied and experiential teaching and learning pedagogies
• Demonstrate fluent ability to design and deliver teaching materials across a range of courses using student-centered strategies with appropriate learning supports
• Commitment to creating and evaluating authentic assessment tools that validly and reliably measure mastery of course learning outcomes while promoting lifelong learning
• Demonstrated ability to develop technology-enriched learning environments that enable students to be active participants in their own education.
• Digital literacy and demonstrated fluency in UDST’s learning management system, and an ability to model and facilitate use of current and emerging digital platforms committed to student learning and feedback
• Manage the resources of the learning environment, including print, online, university, and community resources, student success strategies, and course portfolio documents required for program review and accreditation processes
• Incorporate statistical software (such as R, SPSS) into teaching materials and assessments to ensure practical skills development

Research & Scholarship

• Contribution to the advancement of knowledge through applied research, scholarship, publications, knowledge transfer or professional practice which would be expected to be international in its scope
• A strong record or peer-reviewed research publications, especially in interdisciplinary areas such as applied statistics, computational statistics, or statistical methods in artificial intelligence
• Evidence of contributions to Q1 or Q2 journals is highly regarded
• Experience in research supervision and grant acquisition is preferred

Professional Development & University Service

• Commitment to the effectiveness, vitality, and self-renewal of the teaching profession through self-driven continuous academic professional development and life-long learning.
• Participating in curriculum development projects to enhance cross-college and interdisciplinary collaboration initiatives
• Positive and sustained contributions to the universities’ activities and initiatives including assignments to committee work related to curriculum, assessment, student success, and community outreach.
• Demonstrated aptitude of academic and information literacy skills.
• Stay aligned with current pedagogical trends in statistics, education technology, and STEM fields through professional organization membership.

Personal Skills and Knowledge

• Commitment to creative thinking and analysis to make informed decisions
• Demonstrate reliability, responsibility, and flexibility in managing the teaching and learning environment
• Effective written and verbal communication skills in English; interpersonal skills that contribute to a healthy workplace environment.
• Collaborative and collegial spirit and a demonstrated ability to establish rapport with learners, colleagues, sponsor-employers, and members of the community.