Freelance Researcher – Communication Systems and AI

7 days ago


Remote, India Guires Solutions Private Limited Full time ₹ 4,00,000 - ₹ 12,00,000 per year

Design, implement, and evaluate intelligent models for communication system optimization and fault prediction using hybrid deep learning architectures. Develop reproducible, data-driven frameworks to enhance reliability, scalability, and performance in next-generation communication networks.

· Lead the design and simulation of deep learning–based frameworks for network performance enhancement and failure prediction.

· Develop Python-based modules integrating time-series, spatial, and environmental data for predictive communication analytics.

· Conduct simulation-driven experiments using benchmark datasets, realistic channel/noise models, and communication workloads.

· Publish results, including model architecture, evaluation metrics, and interpretability analysis, in peer-reviewed journals.

· Master's or Ph.D. in Electronics and Communication Engineering (ECE), Communication Systems or related fields.

· Strong background in wireless communication systems, signal processing, and machine learning.

· Proficiency with Python and deep learning frameworks such as TensorFlow and Keras.

· Programming: Python (mandatory)

· Communication Frameworks: Knowledge of 5G/6G system models, link-level simulators, or network-level performance tools.

· Minimum 2+ years of research or development experience in wireless communication systems, machine learning, or data-driven network analysis.

· Hands-on experience in LSTM, CNN, Attention, or hybrid deep learning architectures.

· Proven record of conducting and publishing reproducible research with strong experimental design and analysis skills.

· Deep understanding of radio communication principles, signal quality metrics (RSRP, SINR, RSRQ), and link-level modelling.

· Expertise in data-driven modelling using time-series and spatio-temporal datasets.

· Familiarity with evaluation metrics such as accuracy, F1-score, G-mean, and ROC-AUC.

· Ability to interpret deep learning models (e.g., using SHAP, attention maps) for explainability.

· Strong analytical and programming skills for implementing scalable and interpretable models.

· Develop, simulate, and validate intelligent frameworks for reliable communication system performance prediction.

· Implement hybrid deep learning architectures (e.g., LSTM, Attention, ConvLSTM) in Python for analysing communication datasets.

· Conduct experiments using benchmark datasets (e.g., ITU AI/ML in 5G Challenge) and realistic communication parameters.

· Benchmark proposed models against traditional and state-of-the-art baselines, analysing performance under dynamic environmental conditions.

· Ensure originality, reproducibility, and academic integrity across all research stages.

Contact :

Job Types: Part-time, Freelance, Volunteer

Contract length: 1 month

Pay: From ₹10,000.00 per month

Work Location: Remote



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