Jülich Supercomputing Centre and University of Iceland

Fully-funded PhD position

January 2022

Abstract

The PhD position is funded by the European Pilot for Exascale EUPEX which aims at developing the first European platform for HPC, gathering and integrating European technologies from system architecture, processor, system software and development tools all the way to applications

👨👦Supervisors: Gabriele Cavallaro and Morris Riedel

⌚️Starting date: As soon as possible

🌍Location: You will be employed at the Jülich Supercomputing Centre (Forschungszentrum Jülich, Jülich, Germany) and enrolled at the Faculty of Industrial Engineering, Mechanical Engineering and Computer Science (University of Iceland, Reykjavik, Iceland). A research stay at the University of Iceland is envisaged for a minimum period of time of 1 year. To obtain your PhD degree at the University of Iceland you will have to acquire 30 ECTS from courses and seminars. Your working hours will be not monitored and working from home will be largely permitted.

🔬Goal: you will be hired in the context of the EUPEX Pilot which aims at developing the first European platform for HPC, gathering and integrating European technologies from system architecture, processor, system software and development tools all the way to applications. Your work will support EUPEX to provide a fundamental contribution to the creation of a sustainable European scientific and industrial HPC ecosystem and should stimulate science and technology more than any national strategy (for numerical simulation, AI, and Big Data processing). Your main objective is to develop novel processing workflows that can improve the access to and analysis of the vast amount of high-resolution and multi-source Remote Sensing data. They will be based on parallel machine learning and deep learning algorithms that can scale on heterogeneous and HPC technologies. In EUPEX you will:

  • Identify the requirements of the remote sensing applications towards the EUPEX system
  • Optimize, co-design, test and validate the EUPEX pilot system
  • Perform benchmarking campaigns for EUPEX architecture features
  • Provide application support
  • Prepare workflows to run on future Exascale platforms based on European technologies


👨 👩 👴 👵 🧔Research Group: be part of our joint research group “High Productivity Data Processing" at University of Iceland and Jülich Supercomputing Centre. The group is highly active in developing parallel and scalable machine (deep) learning algorithms for remote sensing data processing and many other types of applications (i.e., medical research and retail sectors).

⚒Working Equipment: Direct access to advance supercomputers, in particular Modular Supercomputing Architecture (MSA) environments. A MSA is a computing environment that integrates heterogeneous HPC systems, which can include different types of accelerators (GPUs, FPGAs) and cutting-edge computing technologies (e.g., quantum and neuromorphic computing) and that is “modularized” by its software stack (also equipped with the state-of-the-art of AI frameworks, e.g., TensorFlow, pyTorch, Chainer, Horovod, DeepSpeed, etc.)

📝Other information: You will have the possibility to participate in international top conferences in the field of machine learning, HPC and remote sensing. You will be put in contact with several international partners for initiating research collaborations that match the topic of the PhD.

📓 Your Profile:

  • MSc degree in computer science or computer engineering
  • Background in data science and/or machine learning
  • High interest to apply your data science knowledge to remote sensing
  • Proven experience in parallel programming and the analysis of parallel applications using the paradigms Message-Passing (MPI) and/or OpenMP on Linux/UNIX systems
  • Programming experience in at least one the following: C, C++, Fortran
  • Knowledge in the scripting language Python
  • Proven background in software development, benchmarking or application optimization
  • Firm experience in the usage of Unix-based Operating System
  • Very positive university track record verified by bachelor and master study transcripts (reference letters are welcome)
  • Ability to work independently and in a team of scientists with heterogeneous backgrounds
  • Experience with software analysis tools, regarding performance as well as correctness of codes is desirable
  • Excellent communication skills in English are mandatory: TOEFL or equivalent evidence of English-speaking skills

👉Apply: send all the items listened below to Gabriele Cavallaro: g.cavallaro@fz-juelich.de

  • Result of your personality test
  • Cover letter
  • Curriculum vitae
  • Transcripts of records of your bachelor and master

Apply now

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