PhD Project in Theory of Nature-Inspired Algorithms

DTU Compute’s Section for Algorithms, Logic and Graphs (AlgoLoG) wouldlike to invite applications for a 3-year PhD position starting April 1, 2019.The project is financed by the Independent Research Fund Denmark (DFF), NaturalSciences. 

Project Description
The project contributes to the running time analysis of nature-inspiredalgorithms, a relatively young research area at the interface betweentheoretical computer science and artificial intelligence. The main aim of theproject is to analyse the running time and to derive provably efficientparameter settings, including self-adjusting parameter schemes, forevolutionary algorithms in discrete search spaces. Such results are obtainedusing techniques from the analysis of randomized algorithms, probability theoryand computational complexity.

Requirements
Candidates must have a two-year master’s degree (120 ECTS) in computerscience, applied mathematics or related academic qualifications (or a similardegree with an academic level equivalent to a two-year master’s degree).Preference will be given to candidates who can document a strong background inthe theory of randomized algorithms or of nature-inspired algorithms.Furthermore, a good command of the English language is essential.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, andthe candidate will be enrolled in the DTU Compute PhD School Programme. Forinformation about the general requirements for enrolment and the generalplanning of the scholarship studies, please see the DTU PhD Guide. 

Assessment
The assessment of the applicants will be made by: Associate ProfessorCarsten Witt and Associate Professor, Head of Section Paul Fischer.

We offer 
DTU is a leadingtechnical university globally recognized for the excellence of its research,education, innovation and scientific advice. We offer a rewarding andchallenging job in an international environment. We strive for academicexcellence in an environment characterized by collegial respect and academicfreedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with theDanish Confederation of Professional Associations. The allowance will be agreedupon with the relevant union. The period of employment is 3 years.

Further Information
Further information concerning the project can be obtained from CarstenWitt, cawi@dtu.dk.  

Further information concerning the application is available at the DTUCompute PhD homepage or bycontacting PhD coordinator LeneMatthisson +45 4525 3377.

Application
Please submit your online application no later than 20 January 2019 (local time). To apply, please open the link “Apply online”, fill out theonline application form. The following must be attached in English: 

    Application (letter of motivation)CVDocumentation of a relevant completed M.Sc. or M.Eng.-degreeCourse and grade list of bachelor and master degreesExcel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)

Candidates may apply prior to obtaining their master’s degree butcannot begin before having received it.

Applications and enclosures received after the deadline will not beconsidered.

All interested candidates irrespective of age, gender, race, disability, religionor ethnic background are encouraged to apply.

DTU Compute has a total staff of 400 including 100 faculty members and130 Ph.D. students. We offer introductory courses in mathematics, statistics,and computer science to all engineering programmes at DTU and specialisedcourses to the mathematics, computer science, and other programmes. We offercontinuing education courses and scientific advice within our researchdisciplines, and provide a portfolio of innovation activities for students andemployees.

DTU is atechnical university providing internationally leading research, education,innovation and scientificadvice. Our staff of6,000 advance science and technology to create innovative solutions that meetthe demands of society, and our 11,200 students are being educated to addressthe technological challenges of the future. DTU is an independent academicuniversity collaborating globally with business, industry, government andpublic agencies. 
Deadline: 20 January 2019
Unit: DTU Compute
Read the job description and apply online

Post expires on Sunday January 20th, 2019