Position Description
The Dissertation Chair in the PhD in Applied Data Science program guides doctoral candidates through applied empirical research, leading committee oversight and ensuring methodological rigor from initial proposal through final defense. This is a part-time, adjunct faculty position in SMCS. This position is fully remote.
Position Responsibilities
Qualifications
The Dissertation Chair in the PhD in Applied Data Science program guides doctoral candidates through applied empirical research, leading committee oversight and ensuring methodological rigor from initial proposal through final defense. This is a part-time, adjunct faculty position in SMCS. This position is fully remote.
Position Responsibilities
- Faith-Grounded Mentorship & Care: Integrate Christian faith
and servant leadership into dissertation supervision by modeling
grace, patience, and intentional care, fostering a growth-minded,
supportive learning environment tailored to working adult
learners.
- Research & Writing Mentorship: Provide structured,
actionable feedback on student drafts via collaborative digital
tools (e.g., Google Docs), strictly adhering to a one-week
turnaround to maintain momentum.
- Committee Leadership: Help students assemble a qualified
doctoral committee consisting of the Chair, at least one additional
Eastern University faculty or staff member, and an optional
external subject-matter expert.
- Ethical & Methodological Governance: Ensure research
designs adhere to quantitative, qualitative, or mixed-methods
rigor, and mandate that any project involving human subjects
completes Institutional Review Board (IRB) approval prior to data
collection.
- Academic Guidance: Demonstrate intentional care, empathy, and
patience throughout the dissertation journey, fostering an
encouraging, supportive learning environment tailored to working
professionals.
Qualifications
- Candidates must have a commitment to excellent teaching in a Christian context.
- Education: An earned doctoral degree (PhD or equivalent) in
Data Science, Computer Science, Statistics, Analytics, or a closely
aligned field.
- Experience: Demonstrated track record of scholarly research,
industry practice, or doctoral-level instruction and
advising.
- Skills: Expertise in empirical research methodologies, strong
written critique capabilities, and familiarity with online/hybrid
doctoral mentoring.
