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PhD-student position in Scientific Computing in Machine learning, Sweden


The Division of Scientific Computing at the Department of Information Technology at Uppsala University is a center for research and education in Scientific Computing. The research has a broad scope, including numerical analysis, applied scientific computing, high-performance computing, and applied cloud computing. The division engages in a broad range of collaborative projects in computational science and engineering (CSE), industrial applications and CSE software development. Application fields include fluid flow, electromagnetics, acoustics, geology, systems biology, quantum mechanics, financial mathematics, and genetics. The Division has an extensive international and national research network.

The graduate education program in scientific computing has so far resulted in over 80 PhDs. Many of them have continued a career as leading researchers in Scientific Computing.

The overall target of the project is to devise, develop, and study machine learning algorithms and implementations. The emphasis for the project is on the scientific computing viewpoint of machine learning algorithms and methods; specifically set-ups of compute-intense character requiring advanced tools from high-performance computing. Concretely we aim to solve problems in one or several of the suggested research/application areas described in the full project description (see We offer an interdisciplinary project which to a high degree can be formed by the selected candidate. Suitable targets of research within the project include high performance algorithms on multi- and manycore computers, but also design and theoretical studies of algorithms for compute intensive machine learning or data assimilation applications.

A PhD position in Scientific Computing requires a Master of Science in for example engineering physics or applied mathematics, or a corresponding degree in a field relevant for the topic of the PhD thesis. Good communication skills in English are necessary. The position is for a maximum of five years and includes departmental duties at a level of at most 20% (typically teaching). There are university guidelines regarding salary level.

Rules regarding PhD positions can be found in the goals and regulations of Uppsala University

Applications should include a description of research interests and past experience, a CV, copies of exams, degrees and grades, a copy of Master thesis (or a draft thereof), relevant publications, and other relevant documents. Candidates are encouraged to provide contact information to reference persons and/or letters of support. Applications may be submitted by candidates that have not fully completed the Master of Science degree (or equivalent), however all applicants should state the earliest feasible starting date of employment.

Uppsala University aims for gender balance and diversity in all activities in order to achieve a higher quality at all levels of the organization. We therefore welcome applicants of any gender and with different birth background, functionality and life experience.

Pay: Local guidelines for salary placement are used.
Starting: As soon as possible.

Type of employment: Temporary position.

Working hours: 100 %

Further Information

Application Deadline : 31 August 2016

PhD-student position in Scientific Computing in Machine learning : PDF

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Posted on 2016-06-26 03:35:23

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