Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности четко описаны, а работа связана с ИИ-ориентированными исследованиями материалов, но очный формат и требование учиться в магистратуре или аспирантуре заметно сужают круг подходящих специалистов.
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Только для студентовНа стыке ИИ и наукиПонятные задачиРабота в лаборатории
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Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Co-Op, Materials Science, Heterogeneous Catalysis (AI-guided materials discovery): Building and running high-throughput workflows for heterogeneous catalyst synthesis, characterization, and performance testing with an accent on reactor experiments, materials analysis, and automated laboratory workflows. Focus on connecting catalyst structure and composition to activity, selectivity, and stability while analyzing data from batch and flow reactor testing.
Location: Cambridge, MA, USA; hands-on lab work at the Alewife site
Company
Builds AI-guided scientific systems and automated instruments for autonomous discovery across medicine, materials, and energy.
What you will do
Synthesize heterogeneous catalysts and prepare samples for performance testing.
Run batch and flow reactor tests to measure activity, selectivity, and stability.
Characterize materials using XRD, BET, TGA, FTIR, chemisorption, or similar techniques.
Analyze experimental data to identify trends in material structure, composition, and catalytic performance.
Support automated and high-throughput synthesis workflows in collaboration with engineering, scientific, and data teams.
Document protocols and results and present findings to the team.
Requirements
Currently enrolled in a Master's or PhD program in Chemistry, Chemical Engineering, Materials Science, or a related field.
Hands-on laboratory experience with materials synthesis or catalyst testing.
Working knowledge of common characterization techniques, including XRD, BET, TGA, FTIR, or similar.
Ability to handle chemicals safely and follow laboratory safety protocols.
Strong attention to detail in experimental execution and record keeping.
Clear written and verbal communication of experimental results.
Nice to have
Experience with batch or flow reactors or gas sorption measurements.
Exposure to high-throughput experimentation or laboratory automation platforms.
Data analysis or scripting experience in Python, R, or MATLAB.
Coursework or research involving zeolites, MOFs, or other porous materials.
Culture & Benefits
Startup-speed environment focused on scientific discovery and complex global challenges.
Work alongside scientists, automation engineers, and data scientists.
Exposure to AI-guided materials discovery and data-rich experimental science.
Values include truth, trust, curiosity, grit, and velocity.
Equal employment opportunity across legally protected characteristics.
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