The University of Engineering and Technology (UET) Taxila has officially announced career opportunities under its HEC-funded NRPU Project No. 87309. If you’re a tech-savvy engineering graduate looking to contribute to cutting-edge machine learning and audio deepfake detection research, this opportunity might be perfect for you. UET Taxila invites applications from skilled and motivated professionals domiciled in Punjab/ICT for research-based positions in its dynamic research project. These positions offer a unique chance to work in a high-tech, innovation-driven environment under the mentorship of top-tier researchers.
In this blog post, we will walk you through all the important details about these positions — eligibility criteria, project scope, application process, important deadlines, and much more. Whether you’re a fresh graduate with strong research aptitude or a developer with hands-on Python/ML experience, you’ll find everything you need to apply for these promising roles.
Let’s dive into the details.
Job Overview – UET Taxila Project-Based Research Jobs
| Organization Name | University of Engineering and Technology (UET) Taxila |
|---|---|
| Project Name | HEC Funded NRPU Project No. 87309 |
| Job Type | Research / Project-Based |
| Positions Announced | 02 |
| Job Titles | Research Assistant, NLP Engineer |
| Qualification | Bachelor’s Degree in Electrical Engineering |
| Experience Required | Yes – As per project requirements |
| Location | UET Taxila |
| Domicile | Punjab / ICT |
| Maximum Age Limit | Up to 40 Years |
| Monthly Stipend | Competitive – As per project pay structure |
| Deadline to Apply | 22 August 2025 |
| Application Method | Both Online & Hard Copy Submission Required |
About the Project
These positions are being offered under a Higher Education Commission (HEC) funded National Research Program for Universities (NRPU) project. The selected candidates will work on advanced research problems related to Machine Learning, Deep Learning, Audio Deepfake Detection, and Transformer-based architectures. The project emphasizes practical implementation and real-world deployment of AI models, particularly in the fields of speech processing and edge computing.
Available Positions
- Research Assistant
- Number of Posts: 01
- Duration: 2 Years
- Pay Package: Monthly fixed stipend (competitive and project-based)
- Eligibility Criteria:
- Bachelor’s degree in Electrical Engineering from an HEC-recognized university.
- Demonstrated expertise in Machine Learning (ML), Deep Learning, and Transformer-based architectures.
- Strong Python programming skills, including hands-on experience with PyTorch and TensorFlow.
- At least 2-3 peer-reviewed research publications (conference/journal), either published or submitted.
- Prior experience working as a student researcher is preferred but not mandatory.
- Maximum Age Limit: 40 years
- Natural Language Processing (NLP) Engineer
- Number of Posts: 01
- Duration: 2 Years
- Pay Package: Monthly fixed stipend
- Eligibility Criteria:
- Bachelor’s degree in Electrical Engineering from a recognized university.
- Advanced programming skills in Python.
- Experience in PyTorch (CUDA), TensorFlow, and Keras, with a focus on audio deepfake detection pipelines.
- Familiarity with self-supervised learning models for speech.
- Experience using Hugging Face libraries for model deployment and experimentation.
- Hands-on experience in deploying applications using Streamlit, FastAPI, Docker, GitHub CI/CD.
- Experience deploying lightweight models like TensorFlow Lite/ONNX on NVIDIA Jetson or ARM-based edge boards.
- Prior experience on funded research projects is a plus, but not required.
- Maximum Age Limit: 40 years
Key Research Areas
These jobs are ideal for those who are passionate about:
- Machine Learning and Deep Learning
- Transformer-based architectures
- Audio Deepfake Detection
- Speech Processing using Self-Supervised Models
- Edge AI and Embedded Deployments
- Python ML frameworks: TensorFlow, PyTorch, Keras
- Real-world ML applications and UI/UX for ML pipelines
Why Join This Project?
Working on the NRPU 87309 project at UET Taxila means:
- Getting involved in Pakistan’s national-level research and innovation ecosystem.
- Contributing to mission-driven research tackling real-world problems such as deepfake audio detection.
- Building expertise in next-gen AI tools, frameworks, and edge computing deployment techniques.
- Developing impactful research publications under expert supervision.
- Working in an inclusive, intellectually stimulating environment.
This is a golden opportunity for early-career researchers and engineers to take their skills and experience to the next level while contributing to the advancement of AI technology in Pakistan.
How to Apply – Step-by-Step Process
Candidates must follow both steps below for a valid application:
- Submit the Hard Copy:
- Download the prescribed application form from the official UET Taxila website: www.uettaxila.edu.pk
- Fill out the form and attach:
- Updated CV
- Attested copies of educational certificates and degrees
- CNIC copy
- Passport-sized photographs
- Experience certificates (if applicable)
- Send the complete application to the Registrar’s Office, UET Taxila, before 22 August 2025 (Friday) at 3:00 PM.
- Online Submission:
- Visit the project-specific submission link: https://web.uettaxila.edu.pk/SwarmRoboticsLab/Index
- Fill in all required details and submit your online application.
Application Fee
- A non-refundable application fee of Rs. 2000/- must be submitted in favor of the Treasurer, UET Taxila, through:
- Bank Draft
- Postal Order
- HBL Challan (UET Taxila Branch)
Important Instructions for Applicants
- These positions are purely project-based and do not guarantee regular employment.
- Late or incomplete applications will be rejected.
- Only shortlisted candidates will be called for tests/interviews.
- No TA/DA will be provided for appearing in interviews or tests.
- The university reserves the right to accept or reject any or all applications without assigning any reason.
Contact Information
For any queries or follow-up, you may contact:
- Registrar, UET Taxila
- Phone: +92-51-9047406
Pro Tips for a Strong Application
- Make sure your CV is updated with relevant projects and tools (TensorFlow, PyTorch, etc.).
- Highlight your academic publications and GitHub contributions in AI/ML.
- Mention specific hands-on experience in deploying ML pipelines or edge AI models.
- Carefully review both online and hard-copy submission instructions.
- Don’t forget to pay the application fee on time.
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Conclusion
The UET Taxila NRPU Project 87309 Jobs 2025 represent a tremendous opportunity for young engineers and researchers with a passion for innovation. These project-based roles offer a direct chance to engage in impactful AI and ML research within a professional academic environment. Whether you’re passionate about natural language processing, edge AI deployment, or transformer-based learning, this is your gateway into practical research with real-world applications.
Act fast — the deadline is August 22, 2025. Make sure to submit your application both online and via hard copy, and get ready to join one of Pakistan’s leading engineering universities on a high-impact research journey.
