Apply for UET Taxila Jobs 2026 for HEC-funded project Research Assistant positions. Explore eligibility requirements, project pay packages, deadlines, and application instructions.
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HEC Funded Project (NRPU-87309)
- Project Title: “DEEPGUARD DEEPFAKE AUDIO EXPLOITATION PREVENTION & GUARDING AGAINST REAL-TIME DECEPTION”
| Position / Pay Package | Eligibility Requirements |
| Research Assistant (Rs. 100,000/- per month) | 1. A Bachelor’s degree in Electrical/Computer/Software Engineering or Computer Science from a recognized institution. 2. Expertise in Machine Learning (ML), Deep Learning, and Transformer-based architectures. Knowledge of audio and video signal processing. 3. Strong programming skills in Python, with hands-on experience in PyTorch, TensorFlow, and other modern ML frameworks. 4. Prior experience working as a student researcher on projects and demonstrated research capability will be a plus, though not mandatory. |
- Note: Applicants must fill (both hard & soft form) in the particulars and submit the form provided at the given link:
[https://web.uettaxila.edu.pk/SwarmRoboticsLab/Index](https://web.uettaxila.edu.pk/SwarmRoboticsLab/Index).
HEC Funded Project (NRPU-20-143413-36)
- Project Title: “Revolutionizing Construction Industry using AI-Driven Aerial Monitoring System”
| Position / Pay Package | Eligibility Requirements |
| Research Assistant (Rs. 100,000/- per month) | 1. Bachelor’s degree in Electrical/ Electronics/ Computer Engineering/ Software Engineering/ Computer Science or a similar discipline (16 years of education) from a HEC recognized university. 2. Strong academic profile and research capability with conference or journal publications (published/submitted). 3. Prior experience working as a student researcher on projects will be a plus, though not mandatory. 4. Preference will be given to candidates having hands-on expertise in the following areas: • Machine Learning/Deep Learning (Algorithm development) • Computer Vision/3D Vision • Programming languages (Python, C++, MATLAB) • COLMAP/MeshLab • Open CV/Open 3D • Deep learning for 3D vision (PointNet, PointNet++, KPConv, SparseConv, Transformer-based models) 5. Additional preference will be given to candidates having experience: • CUDA Basics and Training on GPU • Image segmentation or object detection (YOLO, Mask R-CNN) • Experience with multimodal data (RGB + Thermal) • Good technical writing and communication skills. |
- Note: Duly filled application in soft form must also be emailed at
hammad.zaki@uettaxila.edu.pk.
Application Process & Submission
Submission Guidelines
- The submission of an application is a two-step process, and it is mandatory to submit the application in hard copy as well as on the online form.
- a. Application on prescribed form (available at
www.uettaxila.edu.pk) along with CV and other testimonials must be reached in the office of the undersigned on or before 16.11.2026 (Monday) up to 3:00 PM. - b. Applicants must also fill in the particulars and submit the form as mentioned in each category.
- a. Application on prescribed form (available at
- Application fee (non-refundable) of Rs. 2000/- must be paid in favor of the Treasurer, UET Taxila, in the form of Bank Draft/Postal Order/HBL Challan of UET Taxila Branch.
Terms & Conditions & General Instructions
General Rules & Conditions
- The above posts are purely project-based, hence, no right of regular appointment.
- Attested copies of degree/certificate/testimonials/CNIC/experience certificates and photographs must be attached.
- In case of any educational document or any other document provided by the applicants is found incorrect/fake at any stage, the candidate will be disqualified immediately.
- Incomplete or late-received applications will not be entertained, and only short-listed candidates are called for a test/interview.
- The university reserves the right to accept or reject any/all application(s) without assigning any reason.
- No TA/DA will be paid for the Test/ Interview etc.
Contact Information
- Designation: Khalid Mahmood (Registrar)
- Phone: 051-9047406, 448

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