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Your role: The Research Engineer will focus on collecting, structuring, and curating data from battery materials experiments reported inthe scientificliterature, and on building an intelligent platform to automate and accelerate materials experimentation. The role involves: Systematic extraction of experimental data from publications on battery materials Design of structured databases for materials properties and experimental conditions Development of simulation-driven and AI-assisted workflows to guide experimentation Contribution to a digital platform inspired by AI-driven materials discovery systems (e.g., Noble AI,Elemynt), enabling hypothesis generation, experiment prioritization, and optimization This position sits at the intersection of materials science, data engineering, simulation, and artificial intelligence, aiming to accelerate battery materials research through automation and intelligent decision-making. Key Responsibilities: Work with research team to provide technical solutions in the field of AI ImplementMLalgorithmsin realenvironment MLops Data Collection
Yourprofile: Master's degree inComputerScienceouEquivalent (1337 Ing) Excellent background and research experienceinAIand Cybersecurity. Proficient in Python andPytorchprogramming Ability de parallelize code for use in GPUs and HPC (Slurm) Good oral and written communication skills
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