Phd backend fejlesztő állások Külföldön (it programozás, fejlesztés)

• 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.

• Design, develop, and implement backend services and APIs
• Collaborate closely with customers to understand requirements and propose technical solutions
• Work together with frontend developers, software architects, project managers and customer stakeholders

• Conceptualization, development, and practical validation of innovative automated and AI-supported solutions to enhance documentation and analysis workflows
• Analysis of technical and regulatory requirements and translation into robust, technically feasible concepts

• An opportunity to join a growing company with many career options
• Working hands-on with cutting-edge technology
• Interdisciplinary mentorship by experienced PhD-level experts
• A modern working environment, partial remote work is possible

• The possibility to learn and implement cutting edge technology
• Interpersonal and interdisciplinary mentorship by experienced PhD-level experts
• A modern working environment enabling hybrid work and remote workdays
• An opportunity to join a growing company with many career options

• Encourage “thinking big” and holistic approaches towards solution building;
• Create an inclusive atmosphere where assorted opinions, ideas, personalities and work styles are recognized and respected;

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

• Encourage “thinking big” and holistic approaches towards solution building;
• Create an inclusive atmosphere where assorted opinions, ideas, personalities and work styles are recognized and respected;

• Development of scientific software for research projects in close consultation with researchers
• Advising researchers on the development and use of research software in terms of software quality and computational efficiency
• Conception and development of software documentation and user tutorials

• Developing parallel and distributed algorithms for processing ultra-large 3D images across multiple GPUs
• Designing and adapting scalable deep learning models for segmentation and landmark detection (e.g. U-Net variants, Transformers)

Lead Back-End Engineer - TypeScript/RustLead Backend Engieneer - Web3 Infrastructure (TypeScript & Rust)Location: Lausanne, Switzerland | Work Setup: Hybrid (2 days remote/week)Type: Permanent | Start Date: Flexible | Workload:%Are you a backend engineer passionate about building performant,...

You are involved in the further development of a computational multi-physics simulation framework in C++ and its application to specific research problems, mainly from materials science and process engineering. Additionally, publication of your scientific results in international scientific...

Senior Embedded Software Engineer...

Senior Embedded Software Engineer...

Design, development and maintenance of custom data management and scientific analysis solutions, primarily based on script- and workflow-driven approaches...

In 18-24 months, you will go through various stations in Germany and abroad, taking on responsible tasks in the areas of application, software services, software and function development (requirements engineering, function development, validation and verification, virtualization, big data, and...

• Flexible starting date all year round and a permanent employment contract
• Individual program length and design your program in agile product areas, corporate start-ups, or classic line organizations with a wide range of workshops and trainings
• One station abroad worldwide within the Bosch Group

The Head of the Data Center will lead the planning, design, implementation, and ongoing development of the Data Center, a newly established central unit at the Max Planck Institute of Geoanthropology. This facility will support researchers in the collection, integration, and analysis of diverse...

• Design and implement end‑to‑end AI pipelines for time‑series and event‑driven sensor data (e.g., pressure, temperature, current, voltage, etc.)
• Combine physical models with data‑driven approaches (hybrid / physics‑informed machine learning) to improve robustness and interpretability

• Development of software concepts and software architecture including exception handling for fast feedback systems of the PETRA IV project
• Review of software requirements, design and functionalities for the PETRA IV project