POSITION DESCRIPTION

Job Title:

· Freelance Research Assistant – XR-Aware O-RAN Simulation & Validation Framework

Job Purpose:

- Implement the O-RAN simulation environment described in the client's brief - proposal (scope: simulation only, no hardware testbed).
- Build and run controlled experiments that test the papers' main claims (H1-H5).
- Produce reproducible results, tables and plots from saved traces, suitable for journal submission.

Required Qualification:

- Master's degree (preferred) in Electronics/Communication Engineering, Computer Science, Telecommunications or a related field.
- Candidates with a bachelor's degree and solid applied experience in 5G/O-RAN simulation may also be considered.

Tools to be Familiar:

- Simulation: ns-3 (strongly preferred), or similar tools such as OMNeT++ or Python discrete-event simulation.
- Programming: C++ and Python (NumPy, Pandas, Matplotlib).
- O-RAN concepts: O-DU/O-RU, split 7.2x fronthaul, near-RT RIC, xApps, E2/KPM, MAC scheduling.
- Cloud: Docker (Kubernetes is an advantage).
- Statistics and writing: SciPy/statsmodels or R; Word/LaTeX/Overleaf; Excel/Google Sheets.

Required Experience

- 1-3 years in wireless/5G network simulation or research.
- Experience with MAC schedulers, traffic modelling, or QoS/latency analysis.
- Experience designing repeated experiments with seeds, confidence intervals and paired comparisons.
- Knowledge of XR/video traffic, massive MIMO, or RIC/xApp development is required.

Required Knowledge/Skills

- Understanding of how scheduling, fronthaul delay/jitter/loss and control latency affect deadline misses.
- Ability to implement,



unit-test and verify models (queue accounting, PRB limits, frame counts).
- Reproducibility discipline: version control, one scenario configuration, fixed workloads and impairment traces.
- Honest reporting: results are reported as the implementation produces them, not tuned to match the brief's numbers.
- Clear technical writing for result sections, figures and tables.

Job Description

- Core build: Implement the virtual O-DU (MAC scheduling, PRB allocation, RLC queues, HARQ abstraction) with throughput-aware and XR-aware schedulers.
- XR traffic: Build the XR frame generator with a clear rule for when a frame meets or misses its deadline.
- Fronthaul and MIMO: Add configurable delay, jitter, loss and capacity limits, and model how MIMO layers raise transport demand.
- RIC/xApp loop: Implement a mock RIC with KPI reporting, policy decisions and delayed enforcement.
- Containers and measurement: Containerize services, capture CPU/memory pressure, and export raw traces.
- XOVI scoring (Gate 2): Implement all six components with published weights, thresholds and sensitivity checks.
- Experiments H1-H5: Run the controlled sweeps with repeated runs, uncertainty and effect sizes.
- Reproducibility (Gate 1): Provide scripts that regenerate all tables and plots from raw traces.
- Coordination: Weekly status updates to the project coordinator; flag any mismatch with the brief's preliminary results with specific alternatives based on the discussion with the concern technical experts.

Contact : Gray +91-XXXXXXXXXX

Job Types: Part-time, Freelance, Volunteer

Pay: From ₹10,000.00 per month

Work Location: Remote

📌 Freelance Research Assistant – XR-Aware O-RAN Simulation & Validation Framework (India)
🏢 Guires Solutions Private
📍 India