2 Marie Curie PhD fellows in Computer Science University of Copenhagen, Department of Computer Science, Faculty of Science

2 Marie Curie PhD fellows in Computer Science Department of Computer Science, Faculty of Science at University of Copenhagen is searching for two Marie Curie PhD fellows interested in pushing the boundaries of rapid biomechanics simulation for personalized clinical design with us. They will be enrolled as PhD students in Computer Science commencing 1 September 2018 or as soon as possible thereafter: Position 1 seeks to investigate the use of finite element analysis for understanding of pre-arthrosis deformities and related surgeries. More details can be found here: http://www.rainbow.ku.dk/projects/esr1 Position 2 seeks to investigate real-time physically- based deformable registration techniques to align these 3D geometries to intra-operative images. More details can be found here: http://www.rainbow.ku.dk/projects/esr4 Project description You will be working as part of the Rapid Biomechanics Simulation for Personalized Clinical Design (RAINBOW) MSCA European Training Network, awarded by the European Union's Horizon 2020 research and innovation programme. This network consists of 5 universities, 1 hospital, 8 industrial partners, and will educate a total of 15 PhD students through common dedicated training activities. More details can be found here http://rainbow.ku.dk Principal supervisors are: Associate professor Kenny Erleben, Department of Computer Science, E-mail kenny@di.ku.dk, Direct Phone: +45 29 63 11 08 (position 1) and Associate professor Sune Darkner, Department of Computer Science, E-mail darkner@di.ku.dk, Direct Phone: +45 21 30 85 84 (position 2) Description of the scientific environment The Image section of the Department of Computer Science, University of Copenhagen hosts experts in image analysis and processing, computer vision, computer simulation, numerical optimization and machine learning. The section offers a research environment with much freedom: to a large extent, you shape the research you work on and the ideas you pursue. The section aspires to be a top research environment that bridges theory and practice. You will be part of the RAINBOW research team within the Image section. The team will consist of 4 PhDs, 2 Associate Professors and 1 Post Doc. You will be exposed to clinical practice and get close to patients and clinical experts while working both with theory and creating software, design tools, to be used by clinical experts. The RAINBOW network offers many traveling opportunities for training events and extended visits or research stays. Job description The position is available for a 3-year period and your key tasks as a PhD student are: To manage and carry through your research project Attend PhD courses Write scientific articles and your PhD thesis Disseminate your research To stay at an external research institution for a few months, preferably abroad Formal requirements Applicants should hold an MSc degree in Computer Science, Mathematics or related field with out standing grades. Applicants should possess Strong programming skills, Strong mathematical background and proficiency in spoken and written English. As criteria for the assessment of your qualifications emphasis will also be laid on awards and honors, previous scientific publications in recognized peer-reviewed venues (if any) and relevant professional qualifications and work experience. It is an advantage if the candidate has experience with one or more of the following topics: Differential and Riemannian geometry Numerical optimization Geometry and topology Image analysis/computer vision Simulation and scientific computing Terms of employment The position is covered by the Memorandum on Job Structure for Academic Staff (available on request). 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 and according to the rules and regulations laid down by European Union’s Horizon 2020 Marie Curie Initial Training Networks. The scholarship requires a Master's degree in computer science or a field providing equivalent qualifications (see above), at the time of taking up the position. The appointment is for a period of 36 months and is expected to lead to a PhD dissertation. More details about studying at the University of Copenhagen may be found at http://www.science.ku.dk/english/research/phd/; information about studying in Denmark may be found at http://ism.ku.dk. Since the scholarship is part of the MSCA European Training Network programme the candidate must - at the date of recruitment – be an “early stage researcher” (i.e. in the first 4 years of his/her research career and not have a doctoral degree) and cannot have resided in Denmark for more than 12 months in the three years immediately before the recruitment. Application Procedure The application, in English, must be submitted electronically by clicking APPLY NOW below. Please include Letter of motivation (max. two pages) that includes a description of how the qualifications are met CV Master thesis as PDF (final or in draft; if draft, then state the expected submission date) Assessment of master thesis (final or provisional if the thesis is not submitted) Reference letters from two referees (signed and dated) Diploma and transcripts of grades (BSc and MSc) documenting an outstanding academic record. Unless the candidate's diploma and transcripts of grades are in Danish or English, the candidate must procure a certified translation. Furthermore, the candidate must include official information about the grading scale. Other information for consideration, e.g. list of publications (if any), PDFs of any scientific publications that you have co-authored. Full contact details (Name, address, telephone & email) of 1-3 professional referees The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. The deadline for applications is 1 May 2018, 23:59 GMT +2. 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 the Faculty of Science, University of Copenhagen. You can read more about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/. Questions For specific information about the PhD scholarship, please contact the principal supervisors: Associate professor Kenny Erleben, Department of Computer Science, E-mail kenny@di.ku.dk, Direct Phone: +45 29 63 11 08 (position 1) and Associate professor Sune Darkner, Department of Computer Science, E-mail darkner@di.ku.dk, Direct Phone: +45 21 30 85 84 (position 2) General information about PhD programmes at SCIENCE is available at http://www.science.ku.dk/phd. If you apply for this position please say you saw it on Computeroxy Apply

2 Marie Curie PhD fellows in Computer Science

Department of Computer Science, Faculty of Science at University of Copenhagen is searching for two Marie Curie PhD fellows interested in pushing the boundaries of rapid biomechanics simulation for personalized clinical design with us. They will be enrolled as PhD students in Computer Science commencing 1 September 2018 or as soon as possible thereafter:

Position 1 seeks to investigate the use of finite element analysis for understanding of pre-arthrosis deformities and related surgeries. More details can be found here: http://www.rainbow.ku.dk/projects/esr1
Position 2 seeks to investigate real-time physically- based deformable registration techniques to align these 3D geometries to intra-operative images. More details can be found here: http://www.rainbow.ku.dk/projects/esr4

Project description

You will be working as part of the Rapid Biomechanics Simulation for Personalized Clinical Design (RAINBOW) MSCA European Training Network, awarded by the European Union's Horizon 2020 research and innovation programme. This network consists of 5 universities, 1 hospital, 8 industrial partners, and will educate a total of 15 PhD students through common dedicated training activities. More details can be found here http://rainbow.ku.dk

Principal supervisors are: Associate professor Kenny Erleben, Department of Computer Science, E-mail kenny@di.ku.dk, Direct Phone: +45 29 63 11 08 (position 1) and Associate professor Sune Darkner, Department of Computer Science, E-mail darkner@di.ku.dk, Direct Phone: +45 21 30 85 84 (position 2)

Description of the scientific environment

The Image section of the Department of Computer Science, University of Copenhagen hosts experts in image analysis and processing, computer vision, computer simulation, numerical optimization and machine learning. The section offers a research environment with much freedom: to a large extent, you shape the research you work on and the ideas you pursue. The section aspires to be a top research environment that bridges theory and practice. You will be part of the RAINBOW research team within the Image section. The team will consist of 4 PhDs, 2 Associate Professors and 1 Post Doc. You will be exposed to clinical practice and get close to patients and clinical experts while working both with theory and creating software, design tools, to be used by clinical experts. The RAINBOW network offers many traveling opportunities for training events and extended visits or research stays.

Job description

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

To manage and carry through your research project
Attend PhD courses
Write scientific articles and your PhD thesis
Disseminate your research
To stay at an external research institution for a few months, preferably abroad

Formal requirements

Applicants should hold an MSc degree in Computer Science, Mathematics or related field with out standing grades. Applicants should possess Strong programming skills, Strong mathematical background and proficiency in spoken and written English. As criteria for the assessment of your qualifications emphasis will also be laid on awards and honors, previous scientific publications in recognized peer-reviewed venues (if any) and relevant professional qualifications and work experience. It is an advantage if the candidate has experience with one or more of the following topics:

Differential and Riemannian geometry
Numerical optimization
Geometry and topology
Image analysis/computer vision
Simulation and scientific computing

Terms of employment

The position is covered by the Memorandum on Job Structure for Academic Staff (available on request).

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 and according to the rules and regulations laid down by European Union’s Horizon 2020 Marie Curie Initial Training Networks.

The scholarship requires a Master's degree in computer science or a field providing equivalent qualifications (see above), at the time of taking up the position. The appointment is for a period of 36 months and is expected to lead to a PhD dissertation. More details about studying at the University of Copenhagen may be found at http://www.science.ku.dk/english/research/phd/; information about studying in Denmark may be found at http://ism.ku.dk.

Since the scholarship is part of the MSCA European Training Network programme the candidate must - at the date of recruitment – be an “early stage researcher” (i.e. in the first 4 years of his/her research career and not have a doctoral degree) and cannot have resided in Denmark for more than 12 months in the three years immediately before the recruitment.

Application Procedure

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

Letter of motivation (max. two pages) that includes a description of how the qualifications are met
CV
Master thesis as PDF (final or in draft; if draft, then state the expected submission date)
Assessment of master thesis (final or provisional if the thesis is not submitted)
Reference letters from two referees (signed and dated)
Diploma and transcripts of grades (BSc and MSc) documenting an outstanding academic record. Unless the candidate's diploma and transcripts of grades are in Danish or English, the candidate must procure a certified translation. Furthermore, the candidate must include official information about the grading scale.
Other information for consideration, e.g. list of publications (if any),
PDFs of any scientific publications that you have co-authored.
Full contact details (Name, address, telephone & email) of 1-3 professional referees

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

The deadline for applications is 1 May 2018, 23:59 GMT +2.

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 the Faculty of Science, University of Copenhagen. You can read more about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/.

Questions

For specific information about the PhD scholarship, please contact the principal supervisors: Associate professor Kenny Erleben, Department of Computer Science, E-mail kenny@di.ku.dk, Direct Phone: +45 29 63 11 08 (position 1) and Associate professor Sune Darkner, Department of Computer Science, E-mail darkner@di.ku.dk, Direct Phone: +45 21 30 85 84 (position 2)

General information about PhD programmes at SCIENCE is available at http://www.science.ku.dk/phd.

If you apply for this position please say you saw it on Computeroxy

Apply