Summer Research Intership: Graduate-level Research
vor 4 Wochen
Are you a master or PhD-student and interested in an internship in Berlin during summer this year?
Then the Graduate-Level Research in Industrial Projects for Students (GRIPS) might be the right project for you
Located at the Zuse-Institute Berlin (Research Campus MODAL), we offer graduate students in mathematics and related disciplines the opportunity to work on industry-sponsored research problems. (See list of projects below.)
The program will run from June 19 - August 11, 2023.
G-RIPS is a joint activity of ZIB (Research Campus MODAL) and IPAM (Institute for Pure & Applied Mathematics (at) UCLA).
Tasks
Students from the U.S. and Europe will work for 8 weeks on cross-cultural teams on two research projects (see below) designed by the industrial sponsor. The projects will be of serious interest to the sponsor and will offer a stimulating challenge to students; most will involve both analytic and computational work.
**Requirements**:
**Please submit the following documents**:
- motivation letter (please state which project you are interested in),
- CV / resume,
- an academic record or transcript (can be unofficial).
**Benefits**:
Costs for traveling and accommodation in Berlin are covered.
There are two projects
**Project 1**: Shape Model Benchmark for Defect Reconstruction (Industry Partner: 1000shapes GmbH)
\*Motivation\*
\*Task\*
Within this project we aim to reconstruct patient specific native anatomical regions which are unknown due to pathologies or incomplete data with the help of SSMs. Several SSMs can be investigated for an estimation of a native anatomical approximation by mathematical optimization of a shape fitting process. Therefore, a comparison of different shape modeling frameworks and an evaluation of the respective fitting accuracies need to be undertaken. Besides standard affine registration approaches such as variants of iterative clostest points (ICP) or coherent point drift (CPD), we are primarily interested in non-rigid registration such as non-rigid ICP or Gaussian process morphable models, and particularly in SSM-based approaches. The following frameworks are potentially suitable for comparison:
ZIB/1000shapes SSMs, Statismo and Scalismo, ShapeWorks, Mesh Monk, FlowwSSM, Deformetrica, Morphomatics
\*Data\*
Different approaches can be tested on a large variety of anatomical shapes, such as pelvic bones, jaw bones, knee bones and many more that have been derived and geometrically reconstructed from tomographic image data. In addition we can also provide facial surface data that have been captured with stereophotogrametry.
\*Aims\*
A team of 4 G-RIPS students will collaborate on this topic, however, with a challenging aspect of competition.
Besides a common general understanding of SSMs, each student shall make him
- or herself familiar with a different approach, where at least one (better two) student(s) shall evaluate neural flow SSMs. The different approaches and the respective results will then be compared and presented.
**Project 2**: Evaluating the Compiler Optimization Capabilities on Next-Generation Hardware (Industry Partner: Cray/HPE)
In 2023, a first generation of non-GPU hardware for data-parallel processing combined with compiler-assisted optimization techniques at runtime become available on the market. For the code developer the question arises, how well this concept works in practice, which kind of kernels are best suited for this hardware, and more important, which optimization steps the compiler and runtime system is applying.
The project goal is a characterization of the compiler/runtime capabilities, the robustness of the toolchain, and the relative performance improvements through the automated mechanisms. For the later, a suitable metric is defined within the project.
**Requirements for the applicant**:
- experiences with code development in C/C++ or FORTRAN
- good knowledge with C/C++ or FORTRAN compiler toolchains (GCC, LLVM, or Cray/HPE)
- basic understanding of using accelerators as offload engines (e.g., GPU, FPGA)
- ideally familiar with source code management (CMake, make, git)
- interest to work with early access hardware and software
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