Postdoc in Computer Science / Tomography
DIKU is seeking a postdoctoral researcher for development of high performance numerical algorithms for application in tomographic reconstruction and segmentation of 3D volumes, with on one hand focus on reconstruction and segmentation of tomograms of porous rock, and on the other hand focus on challenges in large tomographic data, especially in the context of the new MAX IV synchrotron facility and the European Spallation Source (ESS).
The postdoc will work with Associate Professor François Lauze at DIKU, in an employment period of up to two years. The postdoc will be, in its first year, part of the Predicting Petrophysical Parameters (P3) project, funded by the High Technology Foundation, and lead by UCPH Nano-Science center, with collaboration with members of the Niels Bohr Institute for Physics and Mærsk Oil and Gas A/S. In its second year, the postdoc will work closely with MAX IV and DTU Compute. Potential tenure track position will result from a successful project.
Petrophysical parameters are parameters, which describe the structure of porous networks in rocks, and the properties of the resulting fluid flows. To be able to accurately predict them from small rock samples, a chain of processing is necessary.
At the beginning of the chain, after tomographic acquisition, accurate reconstruction and segmentation are needed to allow for quantifying parameters such as porosity, tortuosity and connectivity of the porous network and allows for running fluid flow simulation. Accuracy is necessary in all these steps, and especially in the first two ones, as errors will propagate along the chain.
Another issue with tomographic reconstruction in the context of synchrotron imaging is the sheer amount of data produced by the imaging devices. Because of it, reconstruction and segmentation are an important bottleneck in the chain of processing used for analyzing the data, preventing the use of all but the simplest methods, potentially leading to loss of resolution in the segmentation.
In order to address these challenges, accurate high performance algorithms for reconstruction, segmentation, combined or not, must be developed. Recent progresses in optimization, such as splitting methods, proximal algorithms, augmented Lagrangians and ADMM, are largely parallel in nature and may provide high performance, while not sacrificing accuracy.
The successful candidate must have the following qualifications
- MSc degree (or equivalent) and PhD degree in Computer Science, Mathematics, Physics Engineering or other relevant fields.
- Documented background in development or extensive use of tomographic algorithms,
- Documented background in development of numerical algorithms for optimization in 2D and / or 3D imaging.
- Ability to work in a project team and take responsibility for own research goals.
- Ability to communicate, read and write in English.
The Postdoc duties will include research within numerical algorithms:
- Development of high performance algorithms for reconstruction of tomographic data robust to noise and other artifacts,
- Implementation of these algorithms, and testing of their performances,
- Publications of research results.
- Co-supervision of PhD students focusing on numerical algorithms for tomography.
The Postdoc duties may include teaching obligations, from November 2017, and up but no more than 30% of the working hours.
The position is open as soon as possible after application deadline.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.
Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.
The starting salary is currently up to DKK 408,730 including annual supplement (+ pension up to DKK 69,893). Negotiation for salary supplement is possible.
The application, in English, must be submitted electronically by clicking APPLY NOW below.
- Curriculum vita
- Diplomas (Master and PhD degree or equivalent)
- Research plan – description of current and future research plans
- Complete publication list
- Separate reprints of 3 particularly relevant papers
The deadline for applications is 31 January 2017, 23:59 GMT +1.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.
You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.