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Open PhD-Positions at the Schools

Under the roof of HIDA, six Research Schools train doctoral researchers at the interface between Information & Data Science and a scientific domain. At the Schools, they deepen their knowledge of data science methods and learn to combine knowledge from Helmholtz research fields with data science methods. Apply now for the next calls.

DASHH: New PhD positions

DASHH: New PhD positions

DASHH is currently calling for applications to fill 14 new doctoral positions. Applications are open until December 1, 2021.

   

  • DePhaCTo: Deep Learning for X-Ray Phase Contrast Tomography
  • Polycrystalline Materials: Automatized Diffraction Pattern Recognition for Scanning Surface X-Ray Crystallography of Polycrystalline Materials
  • Quantum Dynamics: Time Evolution for Quantum Dynamics with Efficient Solvers
  • NN4CryoEM: Identification of Macromolecules in Cryo-Electron Microscopy Reconstruction Maps Using Neuronal Networks
  • Fault Prediction: Board Level Fault Prediction for the Embedded Sensor Systems at the European XFEL
  • Heavy Higgs Boson: Search for Heavy Higgs Bosons and Axion-Like Particles with the CMS Experiment via Deep Neural Networks
  • Nanotomography: Machine Learning for the Automated Selection and Reconstruction of Multi-Modal Nanotomography Data of Bone-Implant Interfaces
  • Rate-Equation Systems: Development of Machine Learning Approaches for Solving Large Rate-Equation Systems
  • ML4Collider Data: Topology- and Dimensionality-Aware Learning of Physics Data
  • LeCASE Pr: Leveraging Continuous & Assisted Software Engineering to Study and Support Development Processes at Free Electron Lasers
  • PRISE: Phase Retrieval in Imaging and Speech Enhancement
  • Crystallographic Analysis: New Algorithmic Approaches to Macromolecular Crystallographic Analysis
  • LeCASE Ar: Leveraging Continuous & Assisted Software Engineering to Assess and Improve Software Artefacts' Quality at Free Electron Lasers
  • Quantum Simulations: Quantum Simulations of Laser-Induced Electron Diffraction using Recurrent Neural Networks

 

For further information on the individual projects and the application process, please refer to the DASHH website.

DASHH is looking for new doctoral researchers

The Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter DASHH brings together the expertise of scientists with a high international reputation in basic research on the structure of matter, computer science and mathematics in a new, unique form and enables young scientists to experiment at world-leading large-scale research facilities.

DASHH is currently advertising 14 new positions for PhD candidates.

Learn more here and apply by December 1!

Apply now

HDS-LEE: New PhD positions

HDS-LEE: New PhD positions

PhD-student (f/m/d) in data-driven modelling and simulation

Please apply until October 31, 2021


PhD project - Blood Flow: Bridging the Micro-Macro Gap Using Scientific Machine Learning

Please apply until October 31, 2021


PhD Position - Adaptive data reduction techniques for extreme-scale atmospheric models in climate simulation

Please apply until October 31, 2021


PhD Project - Data-driven Agent-based modelling for infectious diseases

Please apply until October 31, 2021


PhD Position - Power Procurement of Cellular Wireless Networks Under Uncertain Renewable Power Generation

Please apply now.


PhD Position - Data-driven Dynamic Reduced-Order Modeling for Energy Systems Optimization

Please apply here


PhD Position - Data-Driven Distribution Models for Robust Design of Island Energy Systems with a High Share of Renewable Electricity

Please apply here


PhD Position - Automatic Experimentation and Discovery in Bioprocess Development

Please apply here


PhD Position - Data-Driven Approaches to Rational Designs of Covalent Drugs

Please apply here


PhD position - Model informed data acquisition for emission flux estimation using 4-dimensional variational data assimilation

Please apply here


PhD position: Scientific Discovery in Earth System Science: Applying Deep Learning Technologies in the Exploration of Big Data from Terrestrial Modeling

Please apply here


PhD Position - High Dimensional Multi Omics Data Integration

Please apply here


PhD Position - Framework for Meta Data Analysis and Interactive Exploration of large Plant FAIR data sets

Please apply here


PhD Position - Application of Machine Learning to Ranking Exhaustive Enumerations of Molecular Conformers

HDS-LEE offers 14 new doctoral positions

The Helmholtz School for Data Science in Life, Earth and Energy HDS-LEE is part of the newly established JARA Center for Simulation and Data Sciences. It provides an interdisciplinary environment for training the next generation of data scientists in close contact with subject-specific knowledge and research.

HDS-LEE is currently advertising 14 new doctoral positions. At the School, PhD students will have the opportunity to use their research to advance the development of data science methods as well as to use cutting-edge artificial intelligence and machine learning technologies to solve challenging scientific problems.

Apply now

Susan Trinitz
Advisor Strategic Initiatives

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