Faculty Hire
AI-powered academic recruitment
Faculty Hire uses AI to parse, score, and organise faculty CVs so hiring committees can focus on evaluating talent instead of sorting files.
dashboard — Faculty Hire
4
New
2
Shortlisted
2
Contacted
1
Interview Scheduled
Dr. Meera Iyer
Computer Science
Dr. Ritu Bhatia
Management & MBA
Dr. Arun Mathew
Economics
Mr. Farhan Sheikh
Law
From parsing CVs to managing your pipeline — one platform for your entire hiring committee.
📄
Upload faculty CVs in bulk — PDF or DOCX. Our AI extracts qualifications, publications, experience, and specialisations automatically.
📊
Each candidate is evaluated across teaching experience, research output, grants, citations, institutional pedigree, domain fit, and leadership.
🏷️
CVs are automatically categorised by department and designation — Computer Science, Management, Law, Economics, and more.
🔄
Move candidates through stages — New, Shortlisted, Contacted, Interview Scheduled, In Process, or Rejected — with one click.
🔍
Search across name, department, or specialisation. Filter by pipeline stage, department, or designation to find the right candidate instantly.
📋
Click any candidate to open a detailed side panel showing AI summary, publication record, grant history, and quick action buttons.
Three simple steps to transform your faculty hiring process.
Drag and drop faculty CVs into the platform. Batch upload is supported — filename is ignored; our AI reads the content.
Each CV is parsed and scored against a 7-parameter academic rubric. Candidates are auto-sorted by department and designation.
Browse the ranked list, open detail drawers for deep review, and move candidates through your hiring pipeline with a single click.
10+
Departments supported
7
Scoring parameters
60s
Avg. CV processing time
100%
Automated sorting
Join academic institutions using Faculty Hire to evaluate candidates faster and make better hiring decisions.
Create your free account