# Associate Counsellor Industrial Ecology Systems Modelling

> Weekday AI · Delhi, India · Full-time · Posted 2026-11-12

**Salary:** INR 1,000,000–1,400,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of Weekday’s clients  
Salary range: Rs 1000000 - Rs 1400000 (ie INR 10 - 14 LPA)**

  
Min Experience: 5+ years  
Location: Delhi, India  
JobType: full-time

We are seeking an Associate Counsellor specialising in Industrial Ecology and Systems Modelling to contribute to research, analysis, and consulting assignments focused on material-flow analysis, industrial resource productivity, computational modelling, and technology assessment.

The role involves analysing industrial resource systems, evaluating material and energy flows, developing quantitative models, and assessing sustainable resource-use pathways. The ideal candidate will have a strong engineering or systems analysis background, with the ability to translate scientific and technical findings into practical insights and decision-support tools.

## Requirements

## Key Responsibilities

-   Conduct material-flow analysis (MFA), substance-flow accounting, material balancing, and industrial resource-use assessments.
-   Analyse industrial resource productivity and identify opportunities to improve material efficiency and resource utilisation.
-   Undertake systems analysis to understand the interactions between energy, water, carbon, and material flows across industrial processes.
-   Define appropriate system boundaries and evaluate resource dependencies and interrelationships within complex industrial systems.
-   Develop and apply computational models to assess industrial resource systems and evaluate alternative technological and resource-use pathways.
-   Conduct scenario analysis to assess the potential environmental and resource implications of different industrial and technological interventions.
-   Use Python, R, or comparable computational tools for data analysis, quantitative modelling, and visualisation.
-   Analyse critical materials and material supply chains, including resource availability, dependencies, and potential supply risks.
-   Assess resource exchange opportunities between industrial processes and unit operations.
-   Apply input-output analysis, process integration techniques, and related tools to evaluate industrial resource efficiency.
-   Evaluate circularity opportunities across batteries, solar photovoltaic systems, wind turbines, electronics, and other technology sectors.
-   Apply life-cycle assessment (LCA) principles and relevant ISO 14040/14044 frameworks to support sustainability assessments and reporting.
-   Contribute to applied research, consulting projects, and technology assessments related to industrial systems and resource transitions.
-   Translate scientific and engineering analysis into practical recommendations, analytical outputs, and decision-support tools.
-   Prepare technical reports, research findings, presentations, and project deliverables for relevant stakeholders.

## Must-Have Skills

-   Material-Flow Analysis (MFA)
-   Systems Analysis
-   Quantitative Modelling
-   Material and Substance-Flow Accounting
-   Computational Modelling
-   Industrial Resource Efficiency
-   Data Analysis and Visualisation

## Good-to-Have Skills

-   Critical-Material Analysis
-   Material Supply-Chain Analysis
-   Resource Exchange and Process Integration
-   Input-Output Analysis
-   Life-Cycle Assessment (LCA)
-   Industrial Sustainability and Circularity Assessment
-   Python or R

## Qualifications and Experience

-   Approximately 5–6 years of relevant professional experience in industrial ecology, resource systems analysis, industrial resource efficiency, or related areas.
-   Master's degree in Chemical Engineering, Industrial Ecology, Industrial and Environmental Systems Engineering, Systems Engineering, or a related discipline.
-   Specialisation in resource efficiency, process systems, industrial sustainability, or computational modelling is preferred.
-   Strong understanding of material-flow analysis, material balances, resource-use assessments, and industrial systems.
-   Demonstrated ability to develop and apply quantitative models, conduct scenario analysis, and evaluate alternative resource and technology pathways.
-   Working proficiency in Python, R, or comparable computational tools for data analysis and visualisation.
-   Experience in applied research or consulting assignments involving industrial systems, resource transitions, or technology assessments is preferred.
-   Strong analytical, problem-solving, research, and technical communication skills.
-   Ability to integrate scientific and engineering analysis into practical recommendations and decision-support tools.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/A4587A8DE4/apply)

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