Phd head com javascript jquery állások Németországban (it programozás, fejlesztés)

• development of physics-guided machine-learning models for composition-process-structure-property relationships in magnesium alloys
• combination of crystal plasticity, phase-field, precipitation, and machine-learning approaches into a unified digital twin framework

• Build and develop a company-wide Data Office as a central governance and coordination function
• Establish pragmatic governance structures, role models and processes for an organisation-wide data management

You lead an international team of frontend and backend developers, quality assurance, DevOps engineers, and Scrum Masters through the agile development process and ensure the use of modern cloud and AI technologies....

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e. g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

Lead the maintenance, development and continuous enhancement of the Antimicrobial Sales and Use (ASU) Platform and its associated digital tools and processes, including visualisation tools and Power BI dashboards supporting surveillance outputs....

Own the AI platform – take end-to-end ownership of Roland Berger's AI ecosystem, including the AI orchestration layer, AI agent frameworks, LLM integrations, and model routing infrastructure; shape the platform roadmap, own the platform budget, and drive build-vs-buy decisions in alignment with IT...

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Leading and developing the Technical Process Consulting team (approx. 8–10 people) across the streams: Source‑to‑Pay, Record‑to‑Report, Plan‑to‑Produce, Plan‑to‑Maintenance, and Order‑to‑Cash
• Steering the transition from the QIAbase project into stable CoE processes and structures

• Lead and develop assigned R&D teams in alignment with corporate strategy and business objectives.
• Translate product and technology strategies into actionable development plans and ensure successful execution.

• Create and implement test strategies and concepts for all test levels in embedded, cloud, mobile and web applications
• Improve our development and testing processes, methods and tools, and support the development teams
• Plan, set up and maintain test environments and automation frameworks

Analyze AI computing systems end-to-end: Understand how training and inference workloads run on modern data-center architectures and identify the fundamental bottlenecks in compute, memory, interconnects and energy efficiency....

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship position

Build AI agents and automations: Identify repetitive processes across the company, then design, build and deploy LLM-powered agents and workflows (e.g. Claude API, tool use / MCP) that take them over, from prototype to production....

• Collaborate with business stakeholders to identify technical opportunities and gather user requirements for Polarion customizations, workflows, reports, dashboards, and integrations.
• Configure, customize, and maintain Polarion ALM solutions to support engineering, quality, and compliance processes.

• Work in collaboration with other Global Product Managers to identify, define and manage digital services and applications based on the holistic residential digital strategy for a comprehensive digital Home Automation offering to optimize customer satisfaction and digitally enhance the...

• You manage the business-critical applications landscape, including ERP / Dynamics 365, CRM, analytics, automation and integrations.
• You define the digitalization roadmap and identify pragmatic AI and automation opportunities.

• Research and identify suitable prediction approaches, including kinematic and dynamic models, Kalman filters, regression techniques, data-driven methods, and hybrid approaches
• Implement prototypes in Python and integrate selected methods into C++ applications where appropriate

• An opportunity to build the foundation for next-generation products
• The possibility to learn and implement cutting edge 3D computer vision methods
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following the internship

• Developing and extending GPU-accelerated rendering features using Vulkan
• Implementing physically based rendering (PBR) and material models
• Designing and optimizing shader pipelines using Slang and modern graphics APIs

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks