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NewUniversity of Engineering and Technology, Taxila

Research Assistant

Asia Pacific Network Project (CRRP 2025-5MAY-SEEWWANDI) Titled "Urban Ecosystem Based Adaptions for Climate Resilience: A Comparative Study of Policy Practice and Capacity Building in Sri Lanka, India and Pakistan". Candidate must hold a BS/MS degree in Environmental Engineering/Computer Science or related field from an HEC-recognized / PEC-accredited university. Required Skills: Environmental Impact assessment and climate resilience strategies, Policy analysis and comparative study methodologies, and report writing skills, Data analysis and visualization e.g. Python, R, or similar tools, GIS and Remote Sensing for the environmental monitoring. Age limit: Up to 30 Years. Pay Package: Rs. 45,000/- per month.

University of Engineering and Technology, Taxila Taxila, Punjab, Pakistan, Pakistan Bewerben bis 9/14/2026

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

bereiten sich vor

1450

Dauer

18 Months

Schwerpunkte

Environmental EngineeringComputer SciencePythonRGISRemote SensingData Analysis

People Also Ask (FAQs)

What is the last date to apply for Research Assistant?

The official closing date is 2026-09-14. Apply early to avoid the last-day portal rush.

How do I apply for Research Assistant?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the University of Engineering and Technology, Taxila test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Research Assistant test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Environmental Engineering, Computer Science, Python, R, GIS, Remote Sensing, Data Analysis.

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