Undergraduate Student Research Position at National Skills University Islamabad NRPU 2026

About the Job

National Skills University (NSU) Islamabad is a public sector university established to address Pakistan's technical and vocational education and training needs. NSU is implementing a HEC approved NRPU research project (Project No. 165444-43) titled "Bridging TVET to IT Employment: An ANN Guided Skills Mapping, Shortage Forecasting, and Placement Pilot for Pakistan", with Prof. Dr. Saud Altaf as Principal Investigator.

NSU is hiring 2 Undergraduate Students (S. No. 02) for this project-based position. This is a contract role exclusively for currently enrolled NSU undergraduate students with a lump-sum remuneration of Rs. 15,000 to 20,000 per month for a maximum duration of 18 months. The position is purely project based and confers no rights for permanent appointment at the University. Applications must be submitted on or before 30 June 2026.

Job Details

Eligibility Criteria and Required Skills

• Currently enrolled undergraduate students at National Skills University Islamabad in Computer Science, Information Engineering Technology, Cyber Security, or a related field may apply
• Candidates with strong skills in MS Excel, Google Forms, data collection, Python, web and mobile app development will be preferred
• Knowledge of ANN models and their practical implementation will be preferred
• Report writing skills will be preferred

Instructions for Applicants

• Submit an updated CV, copy of CNIC, educational documents, and relevant experience certificates (if any)
• Mention position title and project number in the email subject or application (e.g. Application for Undergraduate Student, NRPU Project No. 165444-43)
• Submit on or before 30 June 2026. Applications received after this date will not be entertained
• Selection will be made according to HEC NRPU rules, approved budget, project needs, satisfactory performance, and availability of funds
• The contract may be terminated at any time on the basis of unsatisfactory performance and/or non-availability of funds
• Only shortlisted candidates whose experience and skills are relevant to the project requirements will be called for a test and/or interview. No TA/DA will be admissible
• These positions are purely project based and confer no rights for permanent appointments at the University
• The University reserves the right to accept, reject, or cancel the hiring process without assigning any reason

How to Apply

• Send application to: Prof. Dr. Saud Altaf, Principal Investigator, HEC NRPU Project No. 165444-43
• Address: National Skills University, 1 Faiz Ahmed Faiz Rd, H-8/1, 44000 Islamabad
• Email: saud.nrpu@nsu.edu.pk
• Last Date: 30 June 2026

How to Prepare for This Role

1. This position is open exclusively to currently enrolled undergraduate students at National Skills University Islamabad in Computer Science, Information Engineering Technology, Cyber Security, or a related field. Enrollment status at NSU at the time of application is a hard eligibility requirement. External candidates and students from other universities are not eligible regardless of their qualifications. Include your NSU student ID or an enrollment certificate with your application to confirm eligibility.
2. MS Excel and Google Forms are listed as preferred tools. Demonstrate your proficiency in these by including any coursework, assignments, or personal projects where you used Excel for data organisation or analysis, or Google Forms for data collection or surveys. In a research project context, these tools are used for fieldwork data collection, tabulation, and initial analysis, so showing you have used them in structured tasks rather than just basic use is an advantage.
3. Python programming is listed as a preferred skill. Even if your Python experience is from coursework only, prepare to describe what you have done: data analysis scripts, automation, or basic ML experiments using libraries like pandas, NumPy, or scikit-learn. Relate your Python experience to data collection and processing tasks, as that is the primary use case in this research project.
4. Knowledge of ANN models and their practical implementation is specifically listed as a preferred qualification. Review the basics of Artificial Neural Networks: what they are, how they are trained, and how they are applied to classification or forecasting tasks. If you have completed a project or lab exercise involving ANN, even using a framework like TensorFlow or Keras, describe it briefly in your CV. This directly aligns with the project's ANN-based skills shortage forecasting component.
5. Web and mobile app development skills are preferred. If you have built any web pages, simple apps, or portals using HTML, CSS, JavaScript, React, Flutter, or any similar technology, list them with brief descriptions. The project may require building a placement portal or data dashboard, so UI and app development capability would directly support the project's pilot implementation phase.
6. The application subject must follow the format: Application for Undergraduate Student, NRPU Project No. 165444-43. Submit your CV, CNIC copy, NSU enrollment certificate, and any relevant academic or project documents to saud.nrpu@nsu.edu.pk before 30 June 2026. Two positions are available, so both shortlisting batches will review applications in order of receipt and relevance of skills to the project scope.