The position is for developing advanced quantitative non-destructive testing and inspection technologies and associated tools (software and hardware), besides applying standard techniques, algorithms, and test procedures in specific applications with structural components for reference tests and new technology validation. The inspection methods will employ ultrasonic and electromagnetic principles and relevant sensors. The research and development objectives include quantitative detection of material properties and functional performance degradation in the life cycle of structural components. In the NDT applications, the functional performance parameters are strongly influenced by stress, temperature, and other environmental factors. The inspection processes to be established are based on the original design verification and life-extension-related design improvements.

• MTech/PhD with a minimum of 2 years of hands-on experience with NDT techniques and a clear understanding of basic theoretical principles and data analysis, related test and measurement hardware and software tools. Experience with ultrasonic or electromagnetic wave-based inspection of materials and components is essential. Hand-on experimental or computational application experience with one or multiple of these specific techniques, such as guided wave, C-scan, wave scattering, and computer tomography, will be essential. Additional experience in quantitative analysis and correlation with material properties and structural performance parameters in the context of fatigue/creep/environmental degradation-related life-cycle parameter estimation will be an added advantage. Experience with Industry-standard inspection processes for metallic and composite structural components will be an advantage.

• A minimum of 2 years of experience with Matlab or equivalent programming-based data processing and visualization is required. Experience with ultrasonic or electromagnetic transmitter-receiver systems and data acquisition tools such as NI Lab-view or equivalent will be an added advantage.

• Minimum of 1 year of experience with NDT hardware or software tool design and development will be an added advantage. Persons with experience with embedded system design, RF devices, or high-frequency data acquisition systems-related applications are welcome to apply.

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The position is for additive manufacturing process simulation, particularly thermo-physics, heat transfer, and material melting-solidification. The aim is to predict defects and microstructures in processes like alloy powder melting and solidification, powder bed fusion, directed energy deposition, and laser-material interaction. Prior understanding and additional scientific development efforts may be required to integrate thermo-mechanical models, material models, data-driven algorithms, and reduced-order modelling for process parameter optimisation. The work will involve detailed simulations using multiphysics finite element software tools such as Comsol. The aim is the development of model-based and data-driven numerical schemes to aid in process diagnostic and process parameter optimisation. The work will have to be carried out with close collaboration in a team for simulation verification and validation using physical tests and measurement data.

• MTech/PhD with a minimum of 2 years of hands-on experience with NDT techniques and a clear understanding of basic theoretical principles and data analysis, related test and measurement hardware and software tools. Experience with ultrasonic or electromagnetic wave-based inspection of materials and components is essential. Hand-on experimental or computational application experience with one or multiple of these specific techniques, such as guided wave, C-scan, wave scattering, and computer tomography, will be essential. Additional experience in quantitative analysis and correlation with material properties and structural performance parameters in the context of fatigue/creep/environmental degradation-related life-cycle parameter estimation will be an added advantage. Experience with Industry-standard inspection processes for metallic and composite structural components will be an advantage.

• MTech/PhD with a minimum 2 years of experience with finite element simulations related to some of the following: heat-transfer, material constitutive modelling, thermo-mechanical deformation, melting and solidification or material micro- and nanostructure or molecular dynamics-related fundamental simulations. Specific modelling and simulation experiences with relevant additive manufacturing processes will be an added advantage. Additional experience in material modelling tools, including phase-field, melt flow, and particle/molecular dynamics, will be an added advantage.

• Minimum 2 years of experience and a medium to high level of proficiency is required with Comsol Multiphysics software or equivalent tools, with the ability to quickly implement mathematical models in simulation schemes and post-process simulation data. Experience with parametric simulation and optimisation methods will be an added advantage.

• Minimum 2 years of experience and a medium to high level of proficiency are required with Matlab coding and data visualisation, as well as proficiency with standard tools like Microsoft Excel-based data processing and visualisation. Experience with Matlab, Excel or other programming-based user-interface design and implementation will be an added advantage.

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Project Topics/Areas :

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  Sensors/Actuators/Intelligent Data Acquisition & Control System, or IoT devices (embedded system, software, ML, AI and data analytics).

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  Battery/Solar/Laser – Novel materials, device elements and applications in cell/module level designs, thermo-mechanical and optoelectronic performance enhancements.

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  Advanced testing instrumentation and tools, non-destructive testing, systems health monitoring – simulations and experimental studies, detection-identification-classification algorithms, simulation and testing hardware in-loop technologies and tool development for aerospace, mechanical machineries and bio-medical and other monitoring systems.

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  Modeling & Simulation – Multiphysics and multiscale modelling, code development and simulations, in the specific following computational methods depending on background and skills:



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  Finite element methods for solid mechanics and dynamics modelling (e.g. xFEM, higher-order, spectral, adaptive, meshless, level-set, particle, multiscale etc.) and applications in structural mechanics, impact dynamics and fracture/acoustic/electromagnetics or coupled problems

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  Finite element methods for fluid/gas/aero-dynamics (e.g. adaptive, spectral, higher-order, mesh-less, discontinuous mesh, particle methods)

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  Systems modelling, Reduced-order modelling, digital twin, data-driven simulations using ML and AI.

Eligibility : BTech/MSc/MS/MTech or equivalent with excellent academic records or excellent hand-on experience with software, coding capabilities or hardware/experiments. Those who are pursing final year degree program or fresh graduates are welcome to apply.

Duration : Tentative duration of the internship is six months to one year. Upon successful completion of project internship, regular research project staff position may be available to continue depending on performance and availability of open position.

How to apply : Interested candidates should contact by e-mail to [email protected] with a copy to [email protected] along with CV and areas of interest from the specific areas listed above.