Chemical Process Modeling Lead

Digital Chennai, India Kilpauk, Chennai


Description

Chemical Process Modeling Lead

Description

Language: English

Location:  Chennai, India

Travel: <10%

Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman delivers exceptional service and innovative solutions to our customers globally in the pulp and paper, leather, and water treatment sectors to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment.  Buckman is in the middle of a digital transformation of its businesses and focused on building the capabilities and tools in support of this.

Position Summary

Buckman is seeking an experienced Chemical process modeling lead engineer to lead the development of the Modeling COE at our Chennai facility. Reporting to the Digital Innovation Manager, the Modeling engineer will be responsible for developing mathematical models of chemical processes for real-time parameter estimation and process optimization. The Modeling Engineer will also be responsible for developing physics-based models of assets commonly used in chemical processing for the purposes of anomaly detection, diagnostics, or prognostics of asset or process failure.

You will work closely with Buckman stakeholders to derive deep industry knowledge across paper, water, leather, and performance chemical industries.  You will help develop the modeling center of excellence strategy for the company including creation of the project portfolio, partnering with external providers, and augmenting capabilities with additional internal hires.  A large part of the job is communicating and developing relationship with key stakeholders and subject matter experts to tee up proofs of concept projects. You will not have a large internal team to rely on, at least initially, so individual expertise, breadth of modeling and simulation competency, and ability to partner with external companies will be essential for success. 

You will be working closely with a multi-disciplinary team consisting of sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in the development, and deployment of IoT solutions.  If you like working for an entrepreneurial company with a Sustainability mission and digital ambitions at the core of its strategy, Buckman is the place for you.
 

Responsibilities

  • Development of mathematical models for common chemical production processes.
  • Design, development, and validation of methods for real-time prediction of process variables.
  • Development of instrumentation for state estimation, diagnostics, and prognostics for chemical production operations.
  • Design, development, and analysis of process systems and technology for improving efficiencies on existing systems or new processes.
  • Work in close collaboration with the software and hardware engineering teams, ensuring that chemical production process algorithms are appropriately deployed in production environment
  • Collaboration with a diverse set of individuals including modeling scientists, data scientists, software and hardware engineers, sales engineers, chemical plant operators, and chemical industry executives.
  • Development of process optimization algorithms for chemical processes.

 

Competencies Needed for Success

  • Graduate degree (PhD preferred) in Chemical Engineering or Industrial Engineering from a recognized university.
  • 5+ years of experience working as Process modeling engineer with simulation, designing, developing and troubleshooting chemical processes.
  • 3+ years of professional experience in process control algorithm development and process instrumentation.
  • High competency and knowledge in chemical engineering principles and optimization methodologies including, reaction kinetics, unit operations design, chemical thermodynamics, heat and mass transfer and engineering statistics.

Preferred Qualifications
 

  • Self-starter who routinely takes independent initiatives and is self-motivated.
  • Intellectual curiosity, as evidenced by a demonstrated ability and willingness to learn new technologies.
  • Desire to be “hands on” and create usable solutions to real-world problems;
  • Ability to operate effectively under time and resource constraints.
  • Strong problem-solving and independent decision-making skills.
  • Excellent organizational skills with attention to detail and the ability to manage several projects simultaneously.
  • Strong oral and written communication skills as evidence by the research output of a graduate-level scholar.