Lecturers in Statistics and Engineering Mathematics

Job description

A. DEPARTMENT OF INFORMATION AND COMMUNICATION TECHNOLOGY

1.     Lecturer – Engineering Mathematics (1 Position)

Kapasa Makasa University is inviting applications from suitably qualified candidates who are highly self-motivated and passionate about making a mark in the education sector to fill the position of lecturer for Statistics on full-time employment in the ICT department. The candidate should possess the following qualifications:

Qualifications:

Grade 12 Certificate with Five (5) credits or better including English and Mathematics
Bachelor’s degree in statistics or related field
Master’s degree in Statistics or related field from reputable institutions.
At least 2 years of teaching experience in a tertiary institution and evidence of research publication.
PhD in a Statistics-related field is an added advantage.
Teaching methodology qualification is an added advantage.

Experience and Competencies:

Must have a minimum of two years of  practical and applied experience related to:
Poisson and Binomial Distribution, Uniform and Normal Distribution, Chi-Square and t-Distribution. ANOVA, Decision making with Distribution,  Data representation using graphs, Central Tendency and Dispersion, Skewness, Kurtosis, Curve fitting, Correlation and Regression, Hypothesis Testing. Knowledge in SPSS, SAS, STATA, Tableau and PowerBI.
Prior experience lecturing in Statistics or Applied is an advantage, as it demonstrates the ability to communicate technical topics to students.
Must have evidence of scholarly work published in reputable journals.Must belong to a professional body related to the field of expertise and be an active member.

Responsibilities:

To participate in offering Statistics Course to students pursuing undergraduate bachelor’s degrees in their respective fields.
Mentor students in applying academic knowledge to solve real-life problems as they work their way through their undergraduate programs.
To conduct academic research and be involved in curriculum development.
To review, revise, and improve curricula used by the department.
Coordinate with Tutors for Statistics in giving tutorials to students, asses students, Prepare and mark all assessments and final exams

Required Skills:

Good interpersonal communication Skill
Knowledge in the use of research software tools like Mendelay, Paper pal etc
Computer Skills such as Microsoft application packages are a must
Ability to conduct collaborative research within and outside the University
Report writing and presentation skills are a must.
Able to use online learning platforms like Astria Learning and Moodle

2.     Lecturer – Statistics (1 Position)

Kapasa Makasa University is inviting applications from suitably qualified candidates who are highly self-motivated and passionate about making a mark in the education sector to fill the position of a Lecturer for Statistics on full-time employment in the ICT department. The candidate should possess the following qualifications:

Qualifications:

Grade 12 Certificate with Five (5) credits or better including English and Mathematics
Bachelor’s degree in statistics or related field
Master’s degree in Statistics or related field from reputable institutions.
At least 2 years of teaching experience in a tertiary institution and evidence of research publication.
PhD in a Statistics-related field is an added advantage.
Teaching methodology qualification is an added advantage.

Experience and Competencies:

Must have a minimum of two years of  practical and applied experience related to:
Poisson and Binomial Distribution, Uniform and Normal Distribution, Chi-Square and t-Distribution. ANOVA, Decision making with Distribution,  Data representation using graphs, Central Tendency and Dispersion, Skewness, Kurtosis, Curve fitting, Correlation and Regression, Hypothesis Testing. Knowledge in SPSS, SAS, STATA, Tableau and PowerBI.
Prior experience lecturing in Statistics or Applied is an advantage, as it demonstrates the ability to communicate technical topics to students.
Must have evidence of scholarly work published in reputable journals.
Must belong to a professional body related to the field of expertise and be an active member.

Responsibilities:

To participate in offering Statistics Course to students pursuing undergraduate bachelor’s degrees in their respective fields.
Mentor students in applying academic knowledge to solve real-life problems as they work their way through their undergraduate programs.
To conduct academic research and be involved in curriculum development.
To review, revise, and improve curricula used by the department.
Coordinate with Tutors for Statistics in giving tutorials to students, asses students, Prepare and mark all assessments and final exams

Required Skills:

Good interpersonal communication Skill
Knowledge in the use of research software tools like Mendelay, Paper pal etc
Computer Skills such as Microsoft application packages are a must
Ability to conduct collaborative research within and outside the University
Report writing and presentation skills are a must.

Interested candidates who meet the specified requirements above should apply enclosing their detailed Curriculum Vitae, copies of professional and educational qualifications certified by the Zambia Qualifications Authority (ZAQA), names and addresses of three (3) traceable references, their address, mobile phone number and email address.  The position applying for should be clearly marked on the envelope or in the subject line when applying using the email address.

Mode of Application

Candidates that poses the relevant skills and qualifications should submit their applications and detailed Curriculum Vitae, certified copies of Academic/Professional Certificates, and three (3) names of referees, two (2) of whom must be professionally acquainted with the applicant, to

Email: jobs@kmu.ac.zm , Phone: 0975093144

Postal Address:

The Deputy Registrar
Kapasa Makasa University
P.O. Box 480195
CHINSALI

Closing Date for receipt of applications: 29th  August 2025.
Only shortlisted candidates will be contacted.