20 beste Stellen als phd data in berlin, be – aktuell auf Personalsuche

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eBay Inc. —Kleinmachnow
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cosine GmbH —Berlin
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Databricks —Berlin
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Ingenieur*in oder Wissenschaftler*in für Glasfasertechnik/Photonik (d/f/m)
Leibniz-Institut für Astrophysik Potsdam (AIP) —Potsdam
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Dunia Innovations GmbH —Berlin
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Parse Biosciences —Berlin
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2 Tage

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AI for Science Residency - Machine Learning Resident

Microsoft -
Berlin

Jetzt bewerben

Details zur Stelle

vor 3 Tagen

Qualifikationen

Doktorat
Informatik
Forschungserfahrung
Machine Learning
Künstliche Intelligenz

Vollständige Stellenbeschreibung

Overview

Microsoft Research AI for Science is seeking a talented machine learning researcher to join our mission of accelerating scientific discovery through AI. In the materials team, we are building next generation foundational AI capabilities to accelerate the design of novel materials with industrial impact. You can learn more about our AI emulator MatterSim and generator MatterGen in our blog.

This 2-year residency position is an exceptional opportunity to contribute to our ambitious research agenda by developing efficient and expressive machine learning models for materials. You will work with a highly collaborative, interdisciplinary and diverse team of researchers, engineers and scientists to develop and implement the next generation of machine learning models for materials design.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centred on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of materials design.

Responsibilities

Drive an ambitious, high-impact, research agenda on machine learning for materials.
Develop efficient and expressive machine learning models that address fundamental materials science problems.
Work with domain experts to develop realistic machine learning metrics and benchmarks.
Prepare technical papers and presentations.
Contribute to building large-scale infrastructure for data generation, model training and inference.
Keep up-to-date with latest developments in the field.

Qualifications

Required/Minimum Qualifications:

PhD in computer science, machine learning, computational materials science, physics, or related area.

Track record of publications at top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, Nature/Science or relevant sub-journals).

Strong coding ability and proficiency in collaborative code development.

Ability to quickly iterate between ideation, implementation and evaluation of new research ideas.

Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds.

Preferred/Additional Qualifications:

Experience working on generative models.

Experience working on (materials) science problems.

Experience with agent-driven research and code development.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.

Jetzt bewerben

Erweiterte Suche

phd data Jobs in berlin, be

AI for Science Residency - Machine Learning Resident

Applied Scientist II, AFT AI, Amazon AFT AI

Applied Scientist, Amazon Robotics R&D

Materials Informatics Scientist (Evaluation-focused)

Applied Scientist - Demand Forecast (all genders)

Applied Researcher 3 - Search Ads

Scientist Engineer – silicon pore optics

NERA Associate Analyst/ Analyst (m/f/d): Antitrust and Competition (Berlin)

Senior Machine Learning Scientist

Senior Staff Software Engineer - Delta

Freelance Lecturers in AI, Robotics, and Data Analytics – BSBI, Berlin

Senior Expert (f/m/d) for Self-driven Labs for Materials Discovery

Global Industrial Lead for GCP (all genders)

Applied Research Scientist [Machine Visibility]

Senior Scientist / Lab Head (m/f/d) In Vitro & Genetic Toxicology

Photonics Research - Connectivity for Integrated Optical Circuits (m/f/d)

Senior Applied Scientist - Assortment Demand Forecast (all genders)

Ingenieurin oder Wissenschaftlerin für Glasfasertechnik/Photonik (d/f/m)

Research Scientist, Thermocatalysis

Technical Sales Manager - Germany

Ich möchte aktuelle Job-E-Mails für Stellen als phd data in berlin, be erhalten

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