An AI-powered university recruitment platform that streamlines headhunting, candidate evaluation, committee review, interviews, and HR handoff — while keeping people in control of every hiring decision.
16
Positions Modeled
70+
Fictional Candidates
10
Demo Roles
18
Workflow Steps
Watch the Overview
A guided tour of the recruitment lifecycle, credential verification, and the human-in-the-loop governance built into every AI-assisted step.
The Problem
University recruitment spans position planning, sourcing, screening, committee coordination, multi-stage interviews, and a formal HR handoff — often across disconnected spreadsheets, email threads, and paper files. Search committees lose visibility, candidates lose confidence, and institutions lose time and talent to competitors with faster processes.
The Solution
ScholarSearch AI unifies the entire academic recruitment lifecycle in a single, role-aware platform. AI assists with drafting, summarization, matching, and comparison at every stage — but every status change, evaluation, and final recommendation is made and approved by a person. Transparency and human oversight are built in, not bolted on.
Key Capabilities
Position Planning & Approval
Guided six-step wizard for defining role expectations, qualifications, competencies, and timeline before a search opens.
AI Job Description Generation
Draft, refine, and inclusive-language-check job advertisements in minutes, not days.
Proactive Talent Sourcing
Simulated headhunting workspace with match scoring, outreach generation, and talent pooling.
Eligibility Screening
Structured, criterion-by-criterion review with AI-prefilled recommendations a recruiter must approve.
Committee Collaboration
Independent evaluation rubrics, conflict disclosures, and readiness dashboards for search committees.
Interviews & Assessments
Preliminary interviews, teaching demonstrations, and research seminars with structured, AI-generated questions.
Finalist Comparison
Side-by-side and radar comparisons across qualifications, evaluations, and interview performance.
Formal HR Handoff
A complete, auditable recruitment file transferred to HR once a chair recommendation is finalized.
AI-Powered Workflow
Follow the featured Associate Professor of Educational Leadership search through all ten workflow stages inside the demo.
Workforce planning & position creation
Recruitment strategy & job advertisement
Candidate sourcing & outreach
Application management & CV intelligence
Eligibility screening & AI-assisted evaluation
Search committee review & longlist/shortlist
Preliminary interviews
Teaching demonstrations & research seminars
Finalist comparison & chair interview
Chair recommendation & HR handoff
Inside the Platform
Active Searches
16
Total Applicants
72
Finalists Under Review
11
Transferred to HR
5
Recruitment Funnel
Qualification Mix
Built for Every Stakeholder
Use the role switcher inside the demo to instantly preview the platform from any of these perspectives.
Recruitment Administrator
Oversees the full recruitment pipeline across faculties
Recruiter
Manages sourcing, applications, and screening for assigned searches
Department Chair
Requests positions and conducts the final chair interview
Dean
Approves positions and reviews faculty-wide recruitment performance
Search Committee Chair
Leads the search committee through review and evaluation
Search Committee Member
Evaluates candidates and participates in committee meetings
Executive Approver
Approves position funding and reviews institutional analytics
HR Handoff Officer
Receives completed recruitment files for employment processing
Candidate
Applies for positions and tracks application progress
Platform Administrator
Manages users, templates, frameworks, and platform settings
Governance & Human Oversight
Every AI-generated recommendation is clearly labeled, explainable, and requires human approval before it changes a candidate's status. The platform explicitly prohibits automatic rejection, facial or emotion analysis, personality inference, and any use of protected characteristics in candidate scoring.
Read the Full Governance PolicyTechnology Stack
Outcomes & Benefits
Reduce Administrative Workload
Automate drafting, summarization, and comparison so recruiters and committees focus on judgment, not paperwork.
Improve Recruitment Consistency
Structured rubrics and standardized question sets keep every candidate evaluated the same way.
Strengthen Candidate Sourcing
Proactive outreach and talent pooling build a bench of qualified candidates before a position even opens.
Accelerate Time to Shortlist
AI-assisted screening and matching compress weeks of manual review into days.
Support Search Committees
Readiness dashboards, independent scoring, and aggregated results simplify committee coordination.
Improve Institutional Transparency
Every stage — from sourcing to handoff — is visible to the roles that need to see it.
Create Complete Audit Trails
Every AI-assisted action and human decision is logged for compliance and institutional memory.
Enhance Candidate Experience
A dedicated candidate portal keeps applicants informed from application through decision.
Featured Case Study
Faculty of Education · Department of Leadership, Policy and Administration
Design Challenge
The department needed to fill a critical doctoral-supervision gap through an international search, without losing visibility across 18 applicants and a five-person committee.
Process
AI drafted the job description and recruitment strategy; sourcing and outreach built the pipeline; eligibility screening and committee rubrics narrowed 18 applicants to 3 finalists.
Solution
Teaching demonstrations, research seminars, and a structured chair interview gave the department chair a complete, comparable picture of all three finalists in one workspace.
Impact
The search closed in 134 days with a unanimous committee recommendation and a fully documented HR handoff — from first applicant to transferred file, entirely inside one platform.
Explore all ten roles, the featured search, and every AI-assisted tool — no sign-up required.