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
FormatsDOCX and PDF
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CoversVisiting to associate professor
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
- Cumulative student numbers pull the record together. Fourteen sections and 1,100 students across three institutions reads as a substantial teaching load rather than scattered part-time work.
- Course codes, enrolment and section counts are given. This is what a head of department uses to work out whether you can carry the timetable.
- PhD status is stated honestly. "Application in progress, admission sought 2027". In Pakistani universities the HEC rules make this decisive, so silence is read as a problem.
- Prior industry experience is kept as one line. For business teaching it is a genuine asset and it explains the career shape.
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
- Designed courses are marked in the course list. Teaching an existing course and building one are different contributions, and the bold marker makes it visible at a glance.
- The lab manual has a pass rate attached. 74% to 89% turns a teaching resource into a measurable outcome, which is rare on any teaching CV.
- Supervision is split by level and counted. Eight MS theses and 23 undergraduate projects is a real supervision load and a department plans capacity from it.
- HEC Approved Supervisor status is in the header. In Pakistan this determines whether you can take MS students at all, so it is a hiring precondition rather than a detail.
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
- Graduate employment rate is the strongest line. 71% to 89% within six months is what a programme exists to produce, and it is almost never on an academic CV.
- Accreditation is stated with the outcome. "Awarded without conditions" separates leading the process from merely being present for it.
- Both completed and current supervision are shown. Completions prove capability; current load shows a functioning research group.
- Faculty mentored is a section. Seven junior staff developed is a departmental contribution that a dean weighs when appointing to professor.
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.
- HEC Approved Supervisor status, and at which level — MS or PhD. This determines whether you can take students, which determines whether the department can appoint you.
- PhD status and awarding institution, including whether it is HEC-recognised.
- Publications in HEC-recognised journals, with the category if you know it. A count of papers is not the same as a count of recognised ones.
- Years of post-PhD teaching experience, since promotion criteria are defined in those terms.
- PEC or relevant council registration for engineering and professional faculties.
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.
- Student evaluations. Give the median and the period, not one flattering semester.
- Courses you designed that are still running, and whether other campuses adopted them.
- Pass or attainment rates before and after a change you made.
- Supervision completions and what happened to those students — placements, competitions, publications, employment.
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.