Materials Science Researcher
$80 per hourCrossing Hurdles
Role Overview Research Quality Specialist Material Science Employment Type: Short-Term Contract Duration: 4 Weeks Location: Remote (India) Start Date: Immediate Availability Required: 8 hours per day, minimum 4‑hour overlap with PST timezone $80 per approved task (complex tasks expected to take ~4 hours) Job Overview Turing is seeking highly analytical and research‑oriented professionals with expertise in Computational Material Science to contribute to cutting‑edge AI research projects. This short‑term remote contract is for PhD candidates and researchers passionate about scientific problem‑solving, computational modeling, semiconductor materials, molecular modeling, and advanced reasoning. As a Research Quality Specialist, you will develop research‑grade material science problems, create computational solutions using Python, and participate in quality review processes that support the development and evaluation of advanced AI systems. Key Responsibilities Quantitative Problem Design & Solution Development: Create original graduate‑level and research‑grade material science problems; develop accurate, well‑structured solutions using scientific computing and Python; categorize problems, assign difficulty levels and tags; ensure logical consistency, scientific accuracy, and high‑quality documentation. Quality Assurance & Review: Participate in multi‑level review processes to validate accuracy and quality; review and improve content based on feedback; collaborate with global teams to maintain high standards of research quality and consistency. Required Qualifications Education & Research Background PhD or PhD Candidate in one of the following: Computational Material Science, Semiconductor Materials, Molecular Modeling, Materials Science & Engineering, Metallurgical & Materials Engineering, Computational Materials Science, or closely related fields. Minimum one published peer‑reviewed research paper. Skills & Competencies Strong analytical thinking and scientific problem‑solving abilities. Excellent written and verbal communication skills. Ability to work independently in a remote environment. Preferred Qualifications Advanced proficiency in Python for scientific computing. Experience with computational materials science, molecular simulations, semiconductor materials, material characterization, or scientific modeling. Prior experience in academic research, scientific publishing, or advanced scientific problem design. Application Requirements Active LinkedIn profile is mandatory. Fill the application form shared via WhatsApp/Email. Shortlisted candidates will complete an online assessment. Selected candidates will be contacted for pre‑onboarding requirements. #J-18808-Ljbffr Crossing Hurdles
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- ...beyond conventional temperature-driven models. The postdoctoral researcher will conduct time-resolved measurements (e.g., pump-probe... ...phenomena in magnetic systems are particularly encouraged to apply. #J-18808-Ljbffr National Institute for Materials Science (NIMS)Suggested
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