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PhD Project in Algorithms for Adaptive Compressed Computation

A PhD scholarship in sustainable development is available at Technical University of Denmark. Successful candidate will have funding to work and study for 3 years in Denmark. Potential candidates should apply before January 06, 2020.

DTU Compute's Sections for Algorithms, Logic and Graphs, would like to invite applications for a 3-year PhD position starting 1 February 2020. The project is financed by the Independent Research Fund Denmark and DTU Compute.

The research of the Algorithms, Logic, and Graphs section coversAlgorithmics, Computational Logic, and Graph Theory,and is the scientific foundation for constructing robust, efficient, and intelligent software applications based on mathematically sound solutions. Project Description The PhD project is in theoretical algorithms and focuses on techniques to perform computation directly on compressed highly-repetitive data without decompressing it first. The goal the project is to develop new algorithmic techniques for compressed computation by pursuing new methods that can adapt to the difficulty of the input instance by taking advantage of other parameters of data or patterns in the distribution of queries. Responsibilities and tasks You will contribute to all parts of the funded research project. The main task in the project is designing new algorithmic techniques for access and queries based on structural properties of the compressed data. Your research can include both theoretical work and implementations of the developed algorithms. You are expected to be able to work on algorithmic research both independently and in collaboration with the rest of the project group. You will be part of the team of researchers and external partners within the project. You will be an important part of the international collaboration with several visits to the other institutions in the project (Haifa University, Israel, and Wrocaw University, Poland). Qualifications You should have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree. The master degree should be in computational science and engineering (CSE), applied mathematics, or engineering, or equivalent academic qualifications. Preference will be given to candidates who can document research in the area, strong potential for research in the area, or other relevant experience in the area. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the DTU Compute PhD School Programme. For information about the general requirements for enrolment and the general planning of the PhD study programme, please see the DTU PhD Guide. Assessment The assessment of the applicants will be made by Associate Professors, Inge Li Grtz and Philip Bille. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and appointment terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is a full-time position. The period of employment is 3 years starting 1 February 2020 (or as soon as possible thereafter). You can read more about career paths at DTU here. Further Information Further information concerning the project can be obtained from Inge Li Grtz, inge@dtu.dk. Further information concerning the application is available at the DTU Compute PhD homepage. Application Please submit your online application no later than 6 January 2020, 23:59 (local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include: Candidates may apply prior to obtaining their master’s degree, but cannot begin before having received it.

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