Job_06-01-26

Walk in interview for the following positions for a period of Three years to work in the research project Advanced Machine Learning-Based Anomaly and Fraud Detection System for Next-Generation Telecom Networks funded by DoT, Government of India.

Post Details

Sr. No. Designation of post Monthly Salary HRA No. of Posts
01 RA-I 56,000* 18% 01
02 Office Helper 26,800 No 01

*Inclusive (HRA)

Qualification Criteria

Designation Desirable Skill Essential Qualification Emoluments/ month inc HRA
Research Associate - I

Strong foundation in Machine Learning (ML) and Deep Learning (DL) techniques, including supervised, unsupervised, and reinforcement learning models. 

  • Experience with AI frameworks and libraries, such as: - TensorFlow, PyTorch, for deep learning - Transformers for NLP tasks
  • Proficiency in data preprocessing, feature engineering, dimensionality reduction, and time-series analysis.
  • Hands-on experience in developing and deploying models for:
           o Anomaly detection
           o Predictive analytics and forecasting
  • Familiarity with scientific computing tools (NumPy, Pandas, Matplotlib, Seaborn) and data visualization platforms.
  • Demonstrated ability to work with large-scale datasets, including unstructured data from text, audio, or IoT sources.
  • Strong programming proficiency in Python (preferred) and/or R, with good coding practices and documentation skills.
  • Exposure to real-world applications such as cyber fraud detection
  • Doctorate (Ph.D.) in Computer Science and Engineering or a closely related field


OR

  • M.E./M.Tech. in Computer Science and Engineering, Information Technology, or equivalent discipline
with a minimum of three years of relevant experience in research and/or software development
 56000/-
Office Helper Punctuality, attention to detail, ability to multitask, and willingness to take responsibility for routine operational tasks.
  •  high school (Matriculation) pass or equivalent) 
  • 02 years of experience in operational work will be preferred
 26800/-

 

Important Instructions

Note: Both hard copies and original documents are mandatory. Without them, candidates may not be allowed to attend the interview.

1. Documents to Bring on the Interview Day

a. Hard Copy of Application:

  • Bring a hard copy (printed or handwritten) of your application form.
  • Bring self-attested photocopies (Xerox) of educational/professional certificates, ID proof, and other relevant documents.

b. Original Certificates:

  • Carry all original educational/professional certificates, ID proof, and other relevant documents for verification.
2. Google Form Submission
3. Hard Copy Submission
  • Last date to submit the hard copy of your application form: 21-01-2026 by 04:00 PM
  • Submit at: Cyber Security Research Centre (CSRC), Punjab Engineering College (Deemed to be University), Chandigarh, Sector-12, 160012
4. Upload Scanned Documents
  • Upload scanned copies of the staff application form and experience documents.
  • Ensure the scanned documents are clear and legible.
5. Age Limit
  • Age limit:- 40 years

For further details, please visit www.pec.ac.in
Date of interview: 28/01/2026 at 10:00 AM (Candidates arriving after 10:00 AM will not be considered for the interview.)
Venue: Cyber Security Research Centre. PEC Sector-12, Chandigarh DSRIC.

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