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PhD Student in Electronic-Structure Machine Learning for Materials

Paul Scherrer InstitutVilligen, CH

The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland.We perform cutting-edge research in the fields of future technologies, ener... Mehr anzeigen

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Team Lead Engineering Product Data Management

BRACK.CHMägenwil, Region Mittelland (AG,SO), Schweiz

Wir gehören sowohl im B2C als auch im B2B zu den führenden Onlineshops der Schweiz - eine in Europa nahezu einzigartige Kombination.Dahinter steht eine der modernsten Logistiken des Kontinents: hoc... Mehr anzeigen

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Senior Data Engineer

TEKsystemsBaden, Aargau, Switzerland

Data Engineer (Databricks & CRM Integration).Phase Design workshop completed ASAP after contract signing.Phase 1 (Data products live on ADP): (first major milestone).Phase 2 (Light UI production-re... Mehr anzeigen

Kältetechniker (m/w/d) für Data Center

CarrierSpreitenbach, Canton of Aargau, Switzerland

Teil der Carrier Global Corporation, wurde.Anbieter für effiziente und systemische Klima- und erneuerbare Energielösungen für den Wohn- und Gewerbesektor.Wir decken alle Anwendungen ab: Heizen, Küh... Mehr anzeigen

Junior System Engineer (w/m)

yellowsharkSpreitenbach, AG, Switzerland, CH

Bearbeitung von Support-Tickets gemäss ITIL-Prozessvorgaben.Installation und Wartung von Hard- und Softwarekomponenten.Mitarbeit an Projekten im Bereich Systembetrieb.Unterstützung bei Backup-, Vir... Mehr anzeigen

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Daten- & BI-Spezialist*in für MS Fabric 80-100%

Digital Boutique GmbHBaden, CH

Daten- & BI-Spezialist*in für MS Fabric 80-100%.Wir sind ein junges, dynamisches und begeistertes Team mit grosser wirtschaftlicher und technischer Expertise, viel unternehmerischer Erfahrung und g... Mehr anzeigen

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Business Analyst/in 80 - 100 %

Diartis AGLenzburg, CH

Business Analyst/in 80 - 100 %.Engagiert, voller Ideen und gerne eigenverantwortlich handelnd? Brennst du für Technologie und hast dein Herz am rechten Fleck?.Super, dann passt du zur Diartis!.Du s... Mehr anzeigen

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Elektriker / Gebäudetechniker (m/w/d) – Einsatz im High-Tech Data Center

AdeccoSchlieren, Zh, Switzerland

Wir suchen eine engagierte, zuverlässige und technisch versierte Persönlichkeit, die Freude daran hat, in einer absolut kritischen Umgebung für Stabilität zu sorgen.Durchführung von geplanten und u... Mehr anzeigen

Business Analyst

Ärztekasse GenossenschaftUrdorf, CH

Die Ärztekasse Genossenschaft ist eines der führenden Unternehmen in der Praxisadministration.Sie unterstützt Ärztinnen und Ärzte, Belegärztinnen und Belegärzte, Gruppenpraxensowie Leistungserbring... Mehr anzeigen

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Data Center Technician Switzerland Onsite

RM Staffing B.V.Schlieren, VS, CH

This is a full-time, on-site position where you'll support critical infrastructure at world-class data center facilities.Comprehensive benefits package including:.Health, dental, and vision insuran... Mehr anzeigen

Project Engineer (Portfolio-Management-Plattform)

axia agSchlieren, Zurich, Switzerland
Quick Apply

Unser Kunde ist eine innovative, erfolgreiche Firmengruppe im Bereich der Banking-Dienstleistungen mit einem skalierbaren Angebot von IT-Outsourcing bis zum kompletten BPO.Für den Standort Zürich (... Mehr anzeigen

Product Engineer – Power Semiconductors Module Packaging (BiMOS) 80 – 100% (f/m/d)

HITACHI ENERGY LTDLenzburg, Aargau, Switzerland

As a Product Engineer, you will be a core member of the BiMOS Product Engineering Team, playing a key role at the interface of manufacturing, R&D, and quality.Based in Lenzburg, Switzerland, you wi... Mehr anzeigen

Kältetechniker für Data Center

Viessmann (Schweiz) GmbHSpreitenbach, CH

Kältetechniker (m/w/d) für Data Center.Viessmann Climate Solutions, als Teil der Carrier Global Corporation, wurde1917 alsHeiztechnik-Hersteller gegründet,und ist heuteein weltweit führender Anbiet... Mehr anzeigen

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Senior Controller & Business Intelligence Product Owner (100%)

Daimler Truck Schweiz AGSchlieren, CH

Immer einen Schritt voraus - von Anfang an.Unter dem Dach von Daimler Truck bieten unsere Fahrzeugmarken Mercedes-Benz Trucks und FUSO im Lkw-Segment für jeden Kunden die passende Lösung sowie erst... Mehr anzeigen

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System Engineer / System Owner for Data Historian & Rotronic Monitoring System (m/w/d) (m/w/d)

Coopers Group AGAargau, Switzerland

Startdatum: asap / spätester Start.Der Einsatz ist grundsätzlich langfristig geplant (abhängig von der Leistung).Arbeitspensum: % (Remoteanteil %).Betreuung der AVEVA Plant Information (PI) und Rot... Mehr anzeigen

Data & Analytics Manager

IDAK Food Group AGSpreitenbach, CH

Data & Analytics Manager (80–100%).We create moments of enjoyment for food lovers of all generations.The IDAK Food Group, headquartered in Spreitenbach, is a fast-growing European premium frozen fo... Mehr anzeigen

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Junior Wirtschaftsinformatiker / Junior Business Analyst m/w/d (60-80%)

FUTURA VorsorgestiftungBirr-Lupfig, CH

Lupfig (AG) betreut 1'700 kleine und mittelgrosse Unternehmen mit rund 37'000 Versicherten.Mit einer Bilanzsumme von rund 6 Mrd.Für unser einzigartiges Team suchen wir per eine engagierte Persönlic... Mehr anzeigen

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Order Management Specialist

Volpi AGDietikon, CH

We drive innovations for next-generation instrumentation in the human diagnostics and life sciences industry.Fortune 500 companies rely on our development and manufacturing of optoelectronic system... Mehr anzeigen

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Application Engineer - High Performance Liquid Cooling Solutions

apheros AGBaden, Aargau, Switzerland
Quick Apply

We are looking for an experienced.You will work directly with enterprise customers and our engineering team, translating real-world system requirements into deployment-ready solutions.This role req... Mehr anzeigen

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PhD Student in Electronic-Structure Machine Learning for Materials

PhD Student in Electronic-Structure Machine Learning for Materials

Paul Scherrer InstitutVilligen, CH
Vor 5 Tagen
Stellenbeschreibung



The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies, energy and climate, health innovation and fundamentals of nature. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy. PSI is committed to the training of future generations. Therefore, about one quarter of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2300 people.
This PhD project is part of the new Swiss project "Learning the electrons: Design, training and application of a general model of the electronic structure of matter", which aims to develop next-generation machine-learning models for electronic-structure theory. Building on recent advances in machine-learned interatomic potentials and electronic-structure simulations, the project seeks to create transferable and scalable models capable of predicting not only energies and forces, but also advanced electronic properties of materials with high accuracy and efficiency.
The project combines developments in machine learning, quantum-mechanical simulations, and scientific software infrastructure, and is jointly led by Dr Giovanni Pizzi PSI and Prof Dr Michele Ceriotti EPFL. The goal is to develop and apply machine-learning approaches that provide an explicit representation of the electronic structure of materials, enabling the prediction of advanced electronic properties beyond standard interatomic potentials. Building on state-of-the-art electronic-structure methods and modern ML architectures, the project will investigate the design, training, and validation of transferable electronic-ML e-ML models across a broad range of materials systems, including approaches based on transferable foundation models for materials and large-scale ML architectures applicable across the periodic table.
For the Materials Software and Data Group in the Laboratory for Materials Simulations of the PSI Center for Scientific Computing, Theory and Data we are looking for a
PhD Student in Electronic-Structure Machine Learning for Materials
Your tasks
  • Contribute to the co-development of transferable e-ML models, investigating the interplay between model design, training strategies, computational efficiency, transferability, and predictive accuracy across a broad range of materials systems
  • Generate and curate high-quality electronic-structure datasets using automated and reproducible AiiDA-based workflows for model training and benchmarking
  • Validate and benchmark the predictive performance of the models for advanced materials properties beyond standard band structures and charge densities, including electron-phonon coupling and operators and observables related to Berry phases and other electronic-structure quantities
  • Explore the development of transferable foundation models for materials applicable across the periodic table
  • Contribute to the development of robust, reusable, and efficient open-source software and workflows, integrating machine-learning frameworks with established electronic-structure codes

Your profileWe are looking for a highly motivated candidate with a background in computational materials science or condensed-matter physics, and a keen interest in developing and applying advanced simulation methods and implementing them in workflows. You have experience working independently but also enjoy working in an interdisciplinary and collaborative environment and are eager to combine methodological development with real scientific applications. We do not expect candidates to be experts in all techniques at the start of the PhD; training and learning will be an integral part of the project.
Requirements for candidates include:
  • Master's degree (or close to completion) in physics, materials science, chemistry, engineering, or a closely related field
  • Hands-on experience using density functional theory DFT for research or projects, and/or experience in the development of machine-learning ML models applied to materials
  • Working knowledge of Python for scientific computing and data analysis
  • Comfortable communicating research ideas and results in English, both in writing and in conversation
  • Interest in quantum simulations, modern machine-learning models, the development of new computational methods, and/or materials modeling
You will be fully based at the Paul Scherrer Institute PSI in the Materials Software and Data group of Dr Giovanni Pizzi, and work in close collaboration with the group of Prof Dr Michele Ceriotti at EPFL. You will be enrolle j4id10227048a j4it0623a j4iy26a