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UET Taxila Research Assistant Jobs for HEC-Funded Projects

Taxila · The News International,

Job advertisement published in The News International on Sunday, 1 November 2026, listed under Taxila.

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The University of Engineering and Technology (UET), Taxila invites applications from qualified individuals domiciled in Punjab for project-based Research Assistant positions under two HEC-funded projects. Applications are required in both hard-copy and electronic form.

ProjectPosition and VacanciesMonthly PayDurationAge LimitEligibility Requirements
HEC-funded NRPU Project No. 87309: DEEPGUARD—Deepfake Audio Exploitation Prevention & Guarding Against Real-Time DeceptionResearch Assistant — 2 postsRs. 100,0009 monthsUp to 40 years
  1. A bachelor's degree in Electrical, Computer or Software Engineering, or Computer Science, from a recognized institution.
  2. Expertise in Machine Learning, Deep Learning and transformer-based architectures, with knowledge of audio and video signal processing.
  3. Strong Python programming skills and hands-on experience with PyTorch, TensorFlow and other modern machine-learning frameworks.
  4. Previous experience as a student researcher on projects and demonstrated research capability will be an advantage, though these are not mandatory.
HEC-funded Project NRPU-20-143413-36: Revolutionizing Construction Industry Using AI-Driven Aerial Monitoring SystemResearch Assistant — 1 postRs. 100,00010 months, extendableUp to 45 years
  1. A bachelor's degree in Electrical, Electronics, Computer or Software Engineering, Computer Science, or a similar discipline, comprising 16 years of education, from an HEC-recognized university.
  2. A strong academic profile and research capability supported by conference or journal publications, published or submitted.
  3. Previous experience as a student researcher on projects will be an advantage, though it is not mandatory.
  4. Preference will be given to candidates with hands-on experience in machine learning and deep learning algorithm development; computer vision and 3D vision; Python, C++ and MATLAB; CUDA API and MeshLab; OpenCV and Open3D; and deep learning for 3D vision, including PointNet, PointNet++, KPConv, SparseConv and transformer-based models.
  5. Additional preference will be given for experience with CUDA basics and GPU training; image segmentation or object detection using YOLO or Mask R-CNN; multimodal RGB and thermal data; and good technical writing and communication skills.

Application procedure for Project No. 87309: Applicants must complete the prescribed particulars and submit the form in both hard-copy and electronic form. The application form is available at https://web.uettaxila.edu.pk/SwarmRoboticsLab/index.

Application procedure for Project NRPU-20-143413-36: The completed application proforma in hard-copy form must also be submitted by email.

Published in The News International on Sunday, 1 November 2026. DailyAds.pk indexes newspaper advertisements; the original notice and the issuing organisation remain the source for final terms and eligibility.

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