PhD fellow Position in Niels Bohr Institute, University of Copenhagen, Denmark

Designation/Position- PhD fellow

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The Niels Bohr Institute, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Big Data Solutions for X-ray based Image Processing commencing 15 March 2018 or as soon as possible thereafter.

About- The Institute was founded in 1921, as the Institute for Theoretical Physics of the University of Copenhagen, by the Danish theoretical physicist Niels Bohr, who had been on the staff of the University of Copenhagen since 1914, and who had been lobbying for its creation since his appointment as professor in 1916. On the 80th anniversary of Niels Bohr’s birth – October 7, 1965 – the Institute officially became The Niels Bohr Institute. Much of its original funding came from the charitable foundation of the Carlsberg brewery, and later from the Rockefeller Foundation.

The dynamic research at the Niels Bohr Institute spans Astronomy, Geophysics & Climate, Nanophysics, Particles Physics, Quantum Physics and Biophysics. We explore the smallest sub-atomic particles to stars and planets, gamma rays and distant galaxies in the universe.

Research/Job area– Physics, Mathematics or Computer Science

Project Title- Multiscale, Multimodal, Multidimensional imaging for Engineering

Your PhD project will be part of the Marie Skłodowska-Curie Innovative Training Network, “Multiscale, Multimodal, Multidimensional imaging for EngineeRING” or in short MUMMERING.  The network is concerned with interdisciplinary R&D and training in 3D imaging and its application in materials- and information science. The network offers totally 15 PhD positions. Information about all 15 PhD positions is coming soon.     

Your PhD project will be on developing tools for scaling image processing, where inputs will be provided from the other work-packages in MUMMERING. The focus should be on building tools that support task parallelism for large scale image analysis, it is imperative that the tools supports the way that researchers approach data analysis. Quantitative metrics includes processing speed, fault tolerance and error recovery.   

As a candidate, you will need skills in computer programming, data networks, storage systems and queuing systems. Knowledge of system-level programming, operating systems, distributed systems or middleware implementation is essential. 

Principal supervisor is Professor Brian Vinter, the eScience group, Section for X-ray and Neutron Scattering at The Niels Bohr Institute, E-mail: [email protected]  

Location- The Niels Bohr Institute, University of Copenhagen, Denmark

Eligibility/Qualification- Applicants should hold an MSc degree in Physics, Mathematics or Computer Science, with good results and good English skills. As criteria for the assessment of your qualifications emphasis will also be laid on previous publications (if any) and relevant work experience.   

In order to be eligible, each applicant must fulfil the following criteria at the time of recruitment: 

Mobility: At the time of recruitment, the applicant must not have resided or carried out his/her main activity (work, studies, etc.) in the country of the host organization for more than 12 months in the 3 years immediately prior to his/her recruitment. Compulsory national service and/or short stays such as holidays are not taken into account. 

– Qualifications and research experience: The applicant must fulfil the requirements defined for Early Stage Researchers (ESRs): ESRs are researcher who, at the time of recruitment, has NOT yet been awarded the doctorate degree and is in the first 4 years (full-time equivalent) of his/her research career. 

Job/Position Description- As PhD student, you will be part of the eScience group under the Section for X-ray and Neutron Scattering, where we develop and deploy software for several scientific areas, including multimodal imaging. Our goal is to improve the productivity of the scientist as a programmer and the speed of the software solutions and at the same time reduce errors in scientific programs. The eScience group is the home of several widely used open source packages for scientific use of computers and storage. We work closely with our international peers as well as a number of industrial partners. 

The position is available for a 3-year period and your key tasks as a PhD student at SCIENCE are-

  • To manage and carry through your research project 
  • Attend PhD courses 
  • Write scientific articles and your PhD thesis 
  • Teach and disseminate your research 
  • To stay at an external research institution for a few months, preferably abroad 
  • Work for the department 

How to Apply- The application, in English, must be submitted electronically by clicking APPLY.  

 Please include  

  • Cover Letter, stating which PhD project you are applying for and detailing your motivation and background for applying for the specific PhD project.  
  • CV  
  • Diploma and transcripts of records (BSc and MSc) 
  • Acceptance Letter for the relevant MSc Programme at SCIENCE, if any 
  • Other information for consideration, e.g. list of publications (if any),  
  • Full contact details (Name, address, telephone & email) of 1-3 professional references. 

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. Afterwards an assessment committee will be appointed to evaluate the selected applications. The applicants will be notified of the composition of the committee and the final selection of a successful candidate will be made by the Head of Department, based on the recommendations of the assessment committee and the interview committee.  

The main criterion for selection will be the research potential of the applicant and the above mentioned skills. The successful candidate will then be requested to formally apply for enrolment as a PhD student at the PhD school of Science.

Last Date for Apply– 1 March 2018

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