Senior Research Engineer

Lincoln Electric; Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Lincoln Electric’s Chennai team seeks a data-driven materials engineer to transform flux development through predictive analytics and QbD. The role focuses on correlating inorganic raw-material variability with welding performance, guiding robust product formulation.

The ideal candidate holds a PhD or Master’s in a relevant field, with expertise in characterization, statistics, and machine learning, and will collaborate with cross-functional teams to deliver insights and innovations.

Qualifications

• PhD or Master’s degree in Analytical Chemistry, Materials Science, Chemical Engineering, Ceramic Engineering, Physical Chemistry, or related field.
• Strong experience in advanced materials characterization and analytical techniques.
• Expertise in statistical analysis, chemometrics, DoE, and Bayesian/probabilistic modeling.
• Experience with machine learning, data analytics, and scientific programming (Python, R, JMP, MATLAB).

Responsibilities

• Develop analytical characterization strategies for flux raw materials using techniques such as XRD, XRF, ICP, SEM-EDS, FTIR, Raman, and thermal analysis.
• Apply statistical methods, chemometrics, and Bayesian optimization to understand raw material variability.
• Establish QbD frameworks by identifying CMAs and linking them to manufacturing and welding outcomes.
• Develop predictive models using ML, multivariate statistics, and materials informatics to accelerate formulation development.
• Collaborate with welding experts, manufacturing teams, and data scientists to build a digital foundation connecting materials, processing, and performance.

Skills

Materials characterization

Chemometrics

DoE

Bayesian modeling

Machine learning

Python

Education

PhD or Master’s in Analytical Chemistry / Materials Science / Chemical Engineering / Ceramic Engineering / Physical Chemistry

Tools

Python

R

JMP

MATLAB

Job description

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Lincoln Electric is a high-performance industrial machinery and technology leader who helps customers manufacture and maintain vital equipment and infrastructure. Lincoln Electric’s innovative solutions enable higher quality and productivity across a variety of processes including welding, cutting, brazing, machining, process automation, and field repair. The Company leverages proprietary technologies and expertise in materials science, power electronics, automation, and intelligent software to help customers build better and achieve resilience in their operations. Headquartered in Cleveland, Ohio, Lincoln Electric is the essential ‘Linc’ that keeps the economy running. The Company operates 71 manufacturing and automation facilities across 20 countries and serves customers in over 160 countries. For more information about Lincoln Electric and its products and services, visit the Company’s website at https://www.lincolnelectric.com .

Location: Chennai
Req ID:30172

Job Responsibilities

Help transform welding flux development from an empirical, trial-and-error process into a predictive, data-driven materials engineering discipline. The role focuses on understanding how variability in inorganic raw materials influences manufacturing behavior and welding performance, and applying Quality-by-Design (QbD), advanced analytics, and computational methods to develop more robust and consistent consumable products.

• Develop analytical characterization strategies for flux raw materials using techniques such as XRD, XRF, ICP, SEM-EDS, FTIR, Raman spectroscopy, and thermal analysis.
• Apply statistical methods, chemometrics, and Bayesian optimization to understand the impact of raw material variability on product performance.
• Establish Quality-by-Design (QbD) frameworks by identifying Critical Material Attributes (CMAs) and linking them to manufacturing and welding outcomes.
• Develop predictive models using machine learning, multivariate statistics, and materials informatics to accelerate formulation development.
• Collaborate with welding experts, manufacturing teams, and data scientists to build a digital foundation connecting raw materials, processing parameters, and performance.

Job Requirements

• PhD or Master's degree in Analytical Chemistry, Materials Science, Chemical Engineering, Ceramic Engineering, Physical Chemistry, or a related discipline.
• Strong experience in advanced materials characterization and analytical techniques.
• Demonstrated expertise in statistical analysis, chemometrics, Design of Experiments (DoE), and Bayesian or probabilistic modeling approaches.
• Experience with machine learning, data analytics, and scientific programming (Python, R, JMP, MATLAB, or equivalent).
• Knowledge of computational materials science, thermodynamic modeling, or Quality-by-Design methodologies is highly desirable.

Ideal Candidate

We are particularly interested in candidates from pharmaceuticals, specialty chemicals, advanced materials, ceramics, catalysts, or related industries who can bring new perspectives to material characterization and process understanding. The ability to combine analytical science, statistics, and first-principles thinking to solve complex materials problems is far more important.

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

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