We invite applications for a PhD in algorithms with a focus on dynamic graphs. The PhD takes place at the AlgoLoG section, DTU Compute; a section devoted to the study of theoretical computer science and graph theory.
Responsibilities and tasks
You will engage in the pursuit of new, efficient algorithms for dynamic graphs in collaboration with the PhD adviser, associate professor Eva Rotenberg, who has a background in discrete algorithms, broadly, and dynamic graph algorithms, specifically. Together, we will study and discuss different hypotheses, problems, and ideas concerning dynamic graph algorithms, that is, algorithms for graphs that undergo changes or updates.
In order to handle changes to the graph, an efficient dynamic graph algorithm maintains a data structure containing partial answers to a specific type of query, in a way that allows the right partial answers to be updated when the graph is changed, and the right partial answers to be combined when a query is asked. The fun challenge is in this field is to find just the right partial answers to maintain, while letting the algorithm for answering queries do some of the work of putting the answer together, and often, the road to efficient algorithms goes via new graph theoretic insights.
The PhD is financed by the Villum Young Investigator project "Efficient Recomputations for Changeful Problems", a 5 year project running simultaneously with Eva Rotenberg’s Independent Research Fund Denmark grant "Dynamic Network Analysis" and Carlsberg Foundation project "Graph Algorithms with Geometric Applications". Furthermore, the AlgoLoG section and the university department have many related projects on algorithms, complexity, graph theory, and computational geometry. We aim to provide a scientifically stimulating environment for the PhD student, and hope the PhD student will engage in scientific discussions and collaborations with the researchers around them.
The grant finances participation in conferences, meetings, and workshops, when relevant.
Candidates should have a master’s degree or equivalent by the time of employment. We expect the candidate to have completed courses and projects within the field of dynamic graph algorithms, dynamic algorithms, or graph algorithms, all with good results.
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education .
The research is based at the Technical University of Denmark (DTU) in the Copenhagen area. DTU’s values are to produce excellent research in a people-friendly environment. As a university and as a group we treasure diversity including and going beyond the gender aspect, and we offer a caring and supportive work culture.
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and terms of employment
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 full-time and the period of employment is 3 years beginning 1 July 2023, or as soon as possible thereafter.
You can read more about career paths at DTU here .
In case of any questions or comments, please do not hesitate to contact us. Further information may be obtained from: Eva Rotenberg, email@example.com .
You can read more about DTU Compute at www.compute.dtu.dk/english .
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.
Your complete online application must be submitted no later than31 March 2023 (Danish 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:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
- List of publications, theses, and larger projects, including abstracts.
You may apply prior to obtaining your master's degree but cannot begin before having received it.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.
DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.
Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,400 students and 5,800 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
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