Achine Learning PhD positions available at DIKU, University of Copenhagen

The Department of Computer Science, University of Copenhagen, Denmark (DIKU) encourages highly qualified and motivated candidates to apply for PhD scholarships within
High-Performance Functional Programming
Machine learning and other data analysis techniques applied to medical data
Computer Science in the areas of DIKU’s research sections
PhD scholarship(s) in High-Performance Functional Programming
The PhD student will be working in the Research Center for Functional High-Performance Computing for Financial Information Technology hiperfit.dk. The PhD scholarship is funded by the Danish Council for Strategic Research and will be carried out at DIKU in formal collaboration with the Department of Mathematical Sciences and the Niels Bohr Institute, University of Copenhagen and several finance it-partners in the Copenhagen area. The objective of the PhD project is to develop, implement and evaluate techniques related to executing, efficiently and safely, high-level, functional specifications of both numeric and symbolic computations on modern, highly parallel computational platforms such as multi- and many-core CPUs, GPGPUs and FPGAs.
The candidate must ? in addition to the qualifications listed below ? have a solid academic background in the relevant areas of computer science, as demonstrated by academic courses and project/thesis work related to several of the following areas: Functional programming, programming language theory, and compilers. Experience with either high-performance computing, mathematical finance, domain-specific language or parallel algorithms is desirable, but not required.
The position is available from 1st November 2014 or as soon as possible thereafter. Enquiries about the position can be made to Professor Fritz Henglein, e-mail henglein-AT-di.ku.dk, phone +45 30589576.
PhD scholarship in Data Analysis for Chronic Cardiac Care
The PhD scholarship is in machine learning and other data analysis techniques applied to medical data. The PhD work is part of the collaborative project “Automated Detection Prediction in Chronic Care”. The PhD candidate is supposed to do statistical analysis of data from patients suffering from chronic heart diseases, in particular of data generated by advanced pacemakers (ICD), and to devise methods for automatic detection and prediction of symptoms as well as for treatment optimization.
For further information on Machine Learning lab: http://image.diku.dk/MLLab
The candidate must ? in addition to the qualifications listed below ?have
An MSc in Computer Science, Physics, Statistics, or Mathematics, or alternatively a BSc degree and the equivalent of one year of MSc studies in Computer Science, Physics, Statistics, or Mathematics
Done BSc/An MSc thesis within machine learning and/or statistics
Documented programming skills and experience in programming with C++
Documented solid foundation in mathematics and statistics
Furthermore, knowledge in cardiology is a plus.
The candidate must in addition to submission of the requirements listed below, attach copy of BSc/MSc thesis in pdf format to the application.
The scholarship can be commenced as of 1st November 2014. Enquiries about the position can be made to Professor Christian Igel, e-mail: igel-AT-di.ku.dk, phone +45 21842508
PhD scholarship(s) in Computer Science
PhD scholarship(s) are offered within the areas of DIKU’s research sections:
Algorithms and Programming Languages (APL). The APL section performs research in algorithms, programming languages and systems, including fundamental algorithms and data structures, models of computation, computational biology, optimization, algorithms engineering, functional programming, program analysis, program transformation, reversible computing, domain-specific languages, database systems, cloud computing, high-performance computing, and low energy computing, with applications in a variety of domains (finance, enterprise systems, GIS, healthcare, etc.). The group encourages the interplay of foundational computer science and practical IT applications. For further information, please visit http://www.diku.dk/english/research/apl-group/
Human-Centered Computing (HCC). The Human-Centered Computing (HCC) section is concerned with the theory and practice of how people engage with computing. Currently the section's focus is on computer supported collaborative work (CSCW), health informatics, human computer interaction (HCI), information retrieval, and systems development. For further information, please visit http://www.diku.dk/english/research/HCC/
Image section. The Image section performs research in image analysis, image processing, computer vision, physical simulation and machine learning with current emphasizes on theoretical development and applications to among others human motion capture and simulation; medical imaging in areas such as COPD, Alzheimer's, Breast cancer, Arthritis; Space science. For further information, please visit http://www.diku.dk/english/research/imagesection/
Qualifications
The salary and appointment terms are according to the agreement for PhD scholarships as of 1 April 2012, according to which the monthly salary amounts to approximately EUR 3,700 including pension savings. Candidates should have an MSc degree in computer science, mathematics, physics, statistics, engineering, or similar, at the time of taking up the position. The appointment is for a period of 3 years and is expected to lead to a PhD dissertation.
The key criteria of excellence for the assessment of the candidates are:
Grades that document an outstanding academic record
Scientific publication(s) in recognized, peer-reviewed venues
Awards and honours
Professional qualifications and work experience
Candidates who do not stand out in at least one of the above-mentioned criteria of excellence will not be considered for the positions.
Submission of applications
Applicants are requested to submit their application by using the link below and to clearly indicate which PhD scholarship(s) they apply for. This is done by marking the application “High-Performance Functional Programming”, “Machine learning and other data analysis techniques applied to medical data” and/or “Computer Science in the areas of DIKU’s research sections”. If there is no indication, the application will be rejected. The application deadline is 10th October 2014 (23:59, timezone: LINT = UTC+14). Applications or supplementary material received thereafter will not be considered.
A successful applicant typically already has an established research record inside the potential supervisor's field. A successful application typically includes:
A letter of motivation which includes specific ideas and proposals for research work to be undertaken as part of the PhD project
Documentation of academic degree(s); grade transcripts that documents an outstanding academic record. Unless the candidate’s diploma and transcripts of grades are in Danish or English, the candidate should if possible procure a certified translation as it eases the administrative task of the University of Copenhagen. Furthermore, the candidate must include information about the grading scale provided by her/his university or ministry
Curriculum Vitae which must include the name and contact information of three recognized researchers whom we may contact for further information
Scientific publication(s) in recognized, peer-reviewed venues, such as major international conferences or journals
TOEFL or IETS test results and certificates if the applicant is a non-EU/non-EEA national who does not have English as native language or cannot document that the language of instruction during her/his BSc and MSc has been English.