India Junior chemical engineer Jobs – 124 Open Jobs Today

Senior Quantitative Scientist – Grid Behavioral Modeling
Siemens —Bengaluru, Karnataka
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Lam Research —Bengaluru, Karnataka
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Nikkiso Cryogenic Industries —Vadodara, Gujarat
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Synopsys —Pune, Maharashtra
- Doctoral degree
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HCLTech —Bengaluru, Karnataka
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Auric Techno Services —Pirangut, Pune, Maharashtra
- Sales
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Technical Lead - Pipe Stress
Veolia Water Technologies (VWT) —Unknown, Karnataka
- Full-time
- Bachelor's degree
- APIs
Quick apply
Software Engineer - C# - Electronics Background (5 to 10 Years)
Emerson —Bengaluru, Karnataka
- Urgently hiring
- System design
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Lead Engineer-DCS
Emerson —Noida, Uttar Pradesh
- Full-time
- Analysis skills
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- Bachelor's degree
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Senior Civil Engineer
Worley —Navi Mumbai, Maharashtra
- Civil engineering
- CAD
- B.Sc
Sales Manager
Coppergate Consultants Private Limited —Chennai, Tamil Nadu
- ₹50,000 - ₹60,000 a month
- Sales
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- Bachelor's degree
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Quick apply
Design Manager-HVAC
Jacobs —Gurugram, Haryana
- PMP
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Technical Architect
HCLTech —Chennai, Tamil Nadu
- Computer Science
- Programmable logic controllers
- Bachelor's degree
14d
Checkers / Sr. Checkers
ANEWA Engineering —Hyderabad, Telangana
- Full-time
- AutoCAD
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SAP ABAP Developer
SuperProcure —Kolkata, West Bengal
- Full-time
- Analysis skills
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- Communication skills
Quick apply
Senior Structural Engineer
Worley —Hyderabad, Telangana
- Civil engineering
- Master's degree
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Discipline Lead
L&T Technology Services Limited. —Vadodara, Gujarat
- Full-time
- AutoCAD
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- Bachelor's degree
Principal AI Engineer
Aveva —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- APIs
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Senior Software Engineer - Test Automation
Veeva Systems —Hyderabad, Telangana
- Full-time
- Java
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- Software development
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ServiceNow Senior Developer
Aveva —Hyderabad, Telangana
- Full-time
- Hybrid work
- Azure
- Software troubleshooting
- SQL
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Senior Quantitative Scientist – Grid Behavioral Modeling

Siemens -
Bengaluru, Karnataka

Apply Now

Job details

Permanent | Full-time
9 hours ago

Qualifications

TensorFlow
Doctoral degree
Computer Science
Applied Mathematics
Maths
Research
Machine learning
Algorithm design
AI
Python

Full job description

Modern energy infrastructure spanning power grids, generation plants, and oil and gas networks has evolved into a massive ecosystem of interconnected, smart physical assets. The operational efficiency of these systems is no longer just a function of localized physics; it is driven by a complex mix of market economics, automated edge-computing algorithms, asset degradation constraints, and human decision-making.

Our division is building the mathematical and algorithmic foundation to understand, predict, and optimize these large-scale systems. We are moving beyond traditional physics-only simulations to build behavioral models. By abstracting physical assets (turbines, compressors, transformers, and switchgear) into interacting, intelligent agents, we simulate and optimize how they will behave when exposed to volatile market dynamics, network constraints, and operational uncertainties. We bridge the gap between hard engineering realities (thermodynamics, fluid dynamics, electromagnetics) and AI-driven decision-making.

The Role

We are seeking a Senior Quantitative Scientist to anchor our mathematical research and development. You do not need to be a domain expert in every industrial sector. Instead, we are looking for a rigorous mathematical thinker who can bring deep expertise from advanced optimization, game theory, or AI/ML, and apply it to complex physical networks. You will collaborate closely with domain engineers (electrical, mechanical, chemical) and systems architects to ensure your mathematical abstractions accurately reflect the constraints of real-world industrial operations.

Key Responsibilities

Complex Systems Modeling: Design data-driven and algorithmic models that capture the complex, often unpredictable behavior of decentralized physical assets under volatile market conditions and varying environmental scenarios.
Agent-Based & Behavioral AI: Develop reinforcement learning and multi-agent frameworks that simulate how autonomous industrial devices interact, compete, and cooperate within a shared network or supply chain.
Economic & Incentive Design: Help design the algorithmic "rules of the game" (automated local markets, resource allocation mechanisms, and scheduling algorithms) that incentivize self-interested assets to operate in ways that support overall system stability and profitability.
Optimization Under Uncertainty: Build robust optimization models that maximize efficiency and asset longevity even when facing worst-case scenarios, erratic demand distributions, or incomplete data.
Physics-Aware AI: Collaborate with engineering teams to embed strict physical safety limits (e.g., pressure, temperature, thermal, and voltage constraints governed by PDEs) directly into your data-driven models, ensuring the algorithms never violate fundamental physical laws.
Thought Leadership: Drive the research agenda for the division, mentoring junior scientists and representing our work in industry forums and academic publications.

Required Qualifications

Education: PhD in Applied Mathematics, Computer Science, Operations Research, Statistics, Electrical Engineering, or a closely related discipline.
Experience: 10–12+ years of research or industry experience focused on advanced mathematical modeling, machine learning, and algorithm design.
Core Expertise: Deep, provable expertise in at least two of the following domains:
- Game Theory, Mechanism Design, or Behavioral Economics
- Advanced Mathematical Optimization (e.g., Stochastic, Robust, or Non-linear programming)
- Reinforcement Learning / Multi-Agent Systems
- Physics-Informed Machine Learning (PINNs) or constrained AI models
Technical Stack: Fluency in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow). Experience with mathematical solvers (e.g., Gurobi, SCIP, CVXPY) is highly desirable.

Preferred Qualifications

Domain Exposure: While not strictly required, prior exposure to energy systems, smart grids, algorithmic trading, or complex supply chain networks is a strong plus.
Research Pedigree: A track record of publishing impactful research in top-tier AI/ML venues (e.g., NeurIPS, ICML, AAAI, AI-Stats) OR premier domain-specific journals (e.g., IEEE Transactions on Power Systems, Smart Grid).
Cross-Disciplinary Collaboration: Proven ability to translate abstract mathematical concepts into practical tools for engineering and product teams.

Apply Now

Refine Your Search

junior chemical engineer jobs in india

Senior Quantitative Scientist – Grid Behavioral Modeling

Process Engineer, Sr. Staff

Process Manager

Solution Architect - Senior Staff Engineer

Senior Technical Lead

Sr / Jr Sales Engineer

Technical Lead - Pipe Stress

Software Engineer - C# - Electronics Background (5 to 10 Years)

Lead Engineer-DCS

Senior Civil Engineer

Sales Manager

Design Manager-HVAC

Technical Architect

Checkers / Sr. Checkers

SAP ABAP Developer

Senior Structural Engineer

Discipline Lead

Principal AI Engineer

Senior Software Engineer - Test Automation

ServiceNow Senior Developer

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