R&D Engr/Scientist II

Posted 13 Days Ago
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Gurugram, Haryana, IND
In-Office
Senior level
Aerospace
The Role
Develops reactor, kinetic, process, and analytics models for refinery and petrochemical technologies. Responsibilities include yield estimation, plant data analysis, catalyst lifecycle prediction, process optimization, model validation, KPI development, and technical collaboration with R&D, engineering, software, and customer teams. Requires expertise in reaction engineering, process simulation, statistical analysis, numerical methods, and programming.
Summary Generated by Built In
Qualifications

Job Description:  Kinetic Modeling Specialist


Summary:

An excellent career opportunity is currently available for a Modeling Specialist within R&D Modeling group located in Gurugram, India. The group hosts modeling capabilities in process modeling, CFD modeling and molecular modeling. The role is accountable for the development of reactor and process models and process analytics solutions which are critical to the commercialization and ongoing support of PT technology. This position reports to the Manager of Process Design Development & Modeling, HITC 
 

Detailed Responsibilities: 


  • Develop and deliver reactors, kinetic and process models. Develop and maintain process analytics models for refinery and petrochemical technologies which meet the needs of R&D, Engineering, and Sales Support
  • Develop Yield Estimating Tools which meet the needs of Engineering and Sales Support
  • Use understanding of kinetics, mass transfer and reaction engineering to make innovative

    contributions to PT technology development efforts 

  • Analyze plant operating data to generate actionable insights and performance recommendations.
  • Support catalyst life prediction, cycle length estimation, yield forecasting, and operational trend monitoring. 
  • Validate analytics solutions against historical plant and customer data. 
  • Collaborate with Technical Services (TS), R&D, software development, and customer teams to define and implement technology-specific KPIs.
  • Develop enhanced work processes and modeling techniques 
  • Performs other related duties as assigned 
  • Monitors scientific and modeling literature to understand the state of the art, and makes recommendations for acquisition of new modeling equipment or tools.

Basic Candidate Requirements: 

 

  • A PhD in Chemical Engineering with 2+ years experience in modeling, process simulation, process development or reaction engineering or
  • A  Master's/ Bachelor's degree in Chemical Engineering, Process Engineering, Petroleum Engineering, or a related field with a minimum of 5-10 years experience in R&D / Process Technology / Digital Solutions / Technical Services, modeling, process simulation, process development, reaction engineering.
  • Experience in refining, petrochemical, hydroprocessing, hydrotreating, or catalytic reaction systems. 
  • Strong understanding of reaction engineering, process fundamentals, and refinery operations. 
  • Proficiency in Python, MATLAB, Aspen Plus, Unisim, and equivalent tools. 
  • Experience with statistical analysis, regression techniques, and process data analytics. 
  • Strong problem-solving and communication skills.

Additional Candidate Qualifications:


  • Experience with catalyst performance monitoring and lifecycle management. 
  • Knowledge of kinetic modeling, machine learning, and predictive analytics. 
  • Familiarity with refinery data historians and dashboarding platforms. 
  • Customer-facing technical consulting experience
  •  Excellent communication skills to understand and document customer requirements and to effectively convey recommendations to other disciplines. 
  • Familiar with Six-Sigma tools and their application
  • Knowledge of UOP technologies: Refining/Petrochemicals/Gas Processing applications
  •  Good mastery of process simulation and numerical methods to solve ODEs, PDEs and perform optimization 
  • Good statistics background with emphasis in non-linear parameter estimation and experimental design 
  • Excellent computer programming skills (Fortran, C#, Visual Basic) 
  • Ideal candidate is high-energy, creative, and a self-starter, who demonstrates technical excellence and is comfortable working in a team environment

Key Competencies

  • Process Modeling & Simulation
  • Data Analytics
  • Reaction Engineering
  • Catalyst Performance Analysis
  • Process Optimization
  • Technical Consulting
  • Digital Solutions & Dashboard Applications
  • Cross-functional Collaboration


About UsHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.

Skills Required

  • PhD in Chemical Engineering with at least 2 years of experience in modeling, process simulation, process development, or reaction engineering; alternatively, a Master's or Bachelor's degree in Chemical Engineering, Process Engineering, Petroleum Engineering, or a related field with 5–10 years of relevant experience.
  • Experience in refining, petrochemical, hydroprocessing, hydrotreating, or catalytic reaction systems.
  • Strong understanding of reaction engineering, process fundamentals, and refinery operations.
  • Proficiency in Python, MATLAB, Aspen Plus, UniSim, or equivalent tools.
  • Experience with statistical analysis, regression techniques, and process data analytics.
  • Strong problem-solving and communication skills.
  • Experience with catalyst performance monitoring and lifecycle management.
  • Knowledge of kinetic modeling, machine learning, and predictive analytics.
  • Familiarity with refinery data historians and dashboarding platforms.
  • Customer-facing technical consulting experience.
  • Knowledge of Six Sigma tools and applications.
  • Knowledge of UOP refining, petrochemical, or gas-processing technologies.
  • Mastery of process simulation, numerical methods, ODEs, PDEs, and optimization.
  • Statistics expertise in nonlinear parameter estimation and experimental design.
  • Programming experience in Fortran, C#, and Visual Basic.
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The Company
Mississauga, Ontario
10,000 Employees
Year Founded: 1914

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