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Set 06 · Teaching · CVs

Lecturer CV, for university posts.

A teaching-focused university post is not judged the way a research chair is, and the commonest mistake is sending a research CV with fewer publications on it. What a department needs to know is what you can teach, how many students you can carry, what you have supervised, and what happens to your students. Three samples: a visiting lecturer, a permanent lecturer, and an associate professor on the teaching track.

SamplesThree, complete
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CoversVisiting to associate professor

On this page

  1. Sample one — visiting lecturer
  2. Sample two — permanent lecturer
  3. Sample three — associate professor, teaching track
  4. Teaching track is not research track
  5. What Pakistani universities check first
  6. Evidence of teaching quality
Sample OneThree years · Part-time and visiting

Visiting work is fragmented by nature — several institutions, semester contracts, no single employer. The CV has to make that look like a coherent teaching record, because it is one.

Hamza Sadiq
Visiting Lecturer — Business & Management
[email protected]  ·  +92 300 7719 220  ·  Lahore, Pakistan  ·  HEC Approved Supervisor: no · MPhil qualified

Profile

Visiting lecturer with three years teaching management and marketing across three institutions. Delivered 14 course sections to 1,100 students cumulatively, hold a median evaluation of 4.4 out of 5, and supervised nine undergraduate final year projects to completion.

Teaching Appointments

Visiting Lecturer — Management, University of Central Punjab
2024 — Present
  • Teach Principles of Marketing and Organisational Behaviour, 4 sections annually
  • Average section size 60 students; median evaluation 4.5 / 5.0
  • Supervise five undergraduate final year projects per year
Visiting Lecturer — Business, Superior University
2023 — Present
  • Teach Business Communication and Consumer Behaviour, 3 sections annually
  • Rewrote the Consumer Behaviour course outline, adopted by the department
Teaching Assistant, Lahore School of Economics
2022 — 2023
  • Ran tutorials and marked assessments for two undergraduate courses

Education

MPhil — Business Administration
Lahore School of Economics · 2022 · 3.8 CGPA
BBA (Hons)
University of the Punjab · 2019

Record

Teaching record
14 sections · ~1,100 students · median 4.4 / 5.0
PhD status
Application in progress, admission sought 2027

Courses Taught

MKT 201 — Principles of Marketing (undergraduate, ~60)
2024 — · 4 sections
MGT 301 — Organisational Behaviour (undergraduate, ~55)
2024 — · 3 sections
MKT 340 — Consumer Behaviour (undergraduate, ~45)
2023 — · 4 sections
BUS 105 — Business Communication (undergraduate, ~70)
2023 — · 3 sections

Supervision

9 undergraduate final year projects supervised to completion
2023 — 2025
Two projects graded distinction; one presented at a student conference
2025

Curriculum Contribution

Consumer Behaviour course outline rewritten
2024
Adopted as the department standard outline
Case study bank developed for Organisational Behaviour
2025
12 local cases; shared with two other instructors

Professional

Member, Pakistan Marketing Association (2023—)
Four years industry experience in brand management prior to teaching (2019 — 2022)
Why this one works
Sample TwoSeven years · Full-time, PhD held

A permanent teaching post. Publications exist but they are not the argument — course development, supervision load and student outcomes are.

Dr. Sadia Iqbal
Lecturer — Computer Science
[email protected]  ·  +92 321 4405 883  ·  Lahore, Pakistan  ·  HEC Approved Supervisor (MS) · ORCID 0000-0002-4405-8831

Profile

Lecturer in computer science with seven years teaching, 22 course sections delivered, and 31 MS and undergraduate projects supervised to completion. Designed two new courses now core to the curriculum, and hold a median evaluation of 4.6 across seven years.

Academic Appointments

Lecturer — Computer Science, UET Lahore
2020 — Present
  • Teach four courses annually across undergraduate and MS programmes
  • Designed CS-412 Machine Learning and CS-330 Data Engineering, both now core courses
  • Supervise 6 to 8 final year projects and 2 to 3 MS theses annually
  • Coordinate the final year project committee for the department
Lecturer, COMSATS University
2019 — 2020
  • Taught three undergraduate programming and database courses
Research Assistant, UET Lahore
2016 — 2019
  • Worked on a HEC-funded project during doctoral study

Education

PhD — Computer Science
UET Lahore · 2019
MS — Computer Science
UET Lahore · 2015
BS — Computer Science
PUCIT · 2013

Record

HEC Approved Supervisor
MS level · approved 2021
Teaching record
22 sections · median evaluation 4.6 / 5.0
Publications
9 peer-reviewed · 2 HEC-recognised journals

Courses Taught

CS-412 — Machine Learning (MS, ~25) — designed
2022 — · 4 sections
CS-330 — Data Engineering (UG, ~50) — designed
2021 — · 5 sections
CS-210 — Data Structures (UG, ~80)
2020 — · 6 sections
CS-150 — Programming Fundamentals (UG, ~100)
2019 — · 7 sections

Supervision

8 MS theses supervised to completion
2021 — 2025
23 undergraduate final year projects supervised
2019 — 2025
Three projects placed at national student competitions
2023 — 2025
Coordinator, departmental final year project committee
2022 —

Curriculum Development

CS-412 Machine Learning — full course designed
2022
Now a core MS course; syllabus adopted by two partner campuses
CS-330 Data Engineering — full course designed
2021
Now core in the undergraduate curriculum
Programming Fundamentals lab manual rewritten
2020
Used across all sections; pass rate rose from 74% to 89%

Publications (9 total)

Iqbal S., Ahmad R. (2024). A comparison of feature selection methods for imbalanced datasets. Journal of Information Science and Engineering, 40(3), 511–526.
Iqbal S., et al. (2022). Predicting student attrition using academic records. Pakistan Journal of Engineering and Applied Sciences, 31, 44–56.
Full list via ORCID.
Why this one works
Sample ThreeSixteen years · Programme leadership

Senior teaching track. The argument becomes programme-level: accreditation, curriculum reform, graduate outcomes, and staff developed.

Dr. Rizwan Haider
Associate Professor — Electrical Engineering
[email protected]  ·  +92 333 8890 004  ·  Islamabad, Pakistan  ·  HEC Approved Supervisor (PhD) · ORCID 0000-0001-8890-0047

Profile

Associate professor with sixteen years teaching, currently Programme Coordinator for a 480-student undergraduate degree. Led the programme through PEC Level II accreditation, raised the graduate employment rate from 71% to 89%, and supervised 6 PhD and 34 MS students to completion.

Academic Appointments

Associate Professor & Programme Coordinator, NUST SEECS
2018 — Present
  • Coordinate a 480-student undergraduate programme with 22 teaching staff
  • Led the programme through PEC Level II accreditation, awarded without conditions
  • Raised graduate employment within six months from 71% to 89%
  • Supervise PhD and MS candidates; 6 PhD and 34 MS completions to date
  • Chair the departmental curriculum review committee
Assistant Professor, NUST SEECS
2012 — 2018
  • Taught six distinct courses across power systems and control
  • Established the power electronics teaching laboratory
Lecturer, UET Taxila
2009 — 2012

Education

PhD — Electrical Engineering
University of Manchester · 2012
MS — Electrical Engineering
UET Taxila · 2008
BE — Electrical Engineering
UET Taxila · 2006

Record

HEC Approved Supervisor
PhD level · approved 2016
Supervision
6 PhD · 34 MS completions
Accreditation
PEC Level II lead · awarded 2023

Programme Leadership

PEC Level II accreditation
2022 — 2023
Led whole process; awarded without conditions
Outcome-based education transition across the curriculum
2019 — 2021
All 42 courses mapped to programme learning outcomes
Graduate employment within six months
2018 — 2025
71% → 89%
Industry advisory board established
2020
Nine member companies; five now offer structured internships

Supervision

6 PhD candidates supervised to completion
2016 — 2025
34 MS theses supervised to completion
2013 — 2025
Currently supervising 3 PhD and 5 MS candidates
2026

Courses & Laboratories

EE-431 Power Systems Analysis (UG, ~90)
2012 — · 14 sections
EE-521 Advanced Power Electronics (MS, ~20)
2014 — · 11 sections
Power Electronics Teaching Laboratory established
2015
Eight workstations; used by three courses

Staff Development & Service

Mentored 7 junior faculty through their first two years
2018 —
Chair, departmental curriculum review committee
2019 —
External examiner, three universities
2020 —
Why this one works

Teaching track is not research track

The commonest error in applications for teaching-focused posts is sending a research CV with a shorter publication list. It answers the wrong question and reads as a candidate who wanted a different job.

A department appointing a lecturer is solving a timetable problem and a quality problem. They need to know what you can teach, how many students you can carry, what you can supervise, and whether your students do well. Publications matter — HEC rules and promotion criteria make sure of that — but they are not the argument.

So move teaching above publications, and give it real detail: course codes, enrolments, number of sections, evaluations, courses you designed. A research CV mentions teaching in four lines. A teaching CV spends a page on it.

What Pakistani universities check first

Local academic hiring runs through HEC criteria before anything else, and candidates lose applications on technicalities rather than merit.

Put all of it in the header or the first block. A committee working through eighty applications against a checklist will not go hunting, and an unanswered checklist item is treated as absent.

Evidence of teaching quality

Everyone applying claims to be a good teacher. Four things can actually evidence it, and most candidates use none of them.

The last one is the strongest and the rarest. "Three projects placed at national student competitions" or "graduate employment rose from 71% to 89%" says something about your teaching that no evaluation score can.

Lead with teaching, and evidence it.

All three samples are free to read and copy. Want them as editable Word files, or your own courses, supervision and student outcomes laid out for a university post? Both take a minute.

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The people above are illustrative examples written for teaching purposes. Names, employers, registration numbers and figures are invented and should not be copied into a real application — use them as a shape to pour your own verified numbers into.