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Position: Doctoral candidate (PhD student) in Computer Science (m/f)
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: The University of Luxembourg seeks to hire outstanding PhD Candidates. You will carry out research activities and write a thesis, the main goal being to obtain a PhD in the area of computer science. A possible research starting point for this PhD project is the design and implementation of evolutionary algorithms for convolutional neural network visualisation, and its application in image recognition security. Suggestions for other research topics in deep learning, and their applications in security can also be discussed
Requirements: The candidate should possess an MSc degree or equivalent in Computer Science or Applied Mathematics before September 30th, 2019. The ideal candidate should have some knowledge and experience in a number of the following topics: A proven interest in deep learning and evolutionary algorithms is a plus. Proven experience with “large”, possibly distributed mathematical computations is a plus. Commitment, team spirit, a critical mind, autonomy and motivation are skills that are more than welcome. Fluent written and verbal communication skills in English are mandatory. Knowledge of French or German is desirable, but not a must (language courses are offered at the university). Programming skills (mastery of C/C++ and/or Python is a plus)
   
Text: UOL02678 31-May-2019 Company Text The University of Luxembourg is a multilingual, international research university. Times Higher Education (THE) ranks the University of Luxembourg 58 th in the world and 21 st within Europe for Computer Science in 2016. The Faculty of Science, Technology and Communication of the University of Luxembourg is looking for a: Doctoral candidate (PhD student) in Computer Science (m/f) Ref: F1-070073 Fixed-term employment (14 months fixed-term contract, renewable up to 36 months, pending satisfaction of progress milestones) Full time basis (40hrs/week) Employee and Student status Your Role The University of Luxembourg seeks to hire outstanding PhD Candidates. You will carry out research activities and write a thesis, the main goal being to obtain a PhD in the area of computer science. A possible research starting point for this PhD project is the design and implementation of evolutionary algorithms for convolutional neural network visualisation, and its application in image recognition security. Suggestions for other research topics in deep learning, and their applications in security can also be discussed. The PhD candidate will be a member of the Computer Science and Communications Research Unit (CSC) within the Faculty of Science, Technology and Communication at the University of Luxembourg. Part of the work time must therefore be dedicated to support teaching activities within the Computer Science Bachelor and Master programs of the faculty. Your Profile The candidate should possess an MSc degree or equivalent in Computer Science or Applied Mathematics before September 30 th , 2019. The ideal candidate should have some knowledge and experience in a number of the following topics: A proven interest in deep learning and evolutionary algorithms is a plus. Proven experience with “large”, possibly distributed mathematical computations is a plus. Commitment, team spirit, a critical mind, autonomy and motivation are skills that are more than welcome. Fluent written and verbal communication skills in English are mandatory. Knowledge of French or German is desirable, but not a must (language courses are offered at the university). Programming skills (mastery of C / C++ and/or Python is a plus). For further information, please contact Franck Leprévost (Franck.Leprevost@uni.lu). We offer The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created university. Further Information Application: Your application should include: Full CV, and name (and email address, etc) of three referees. Transcript of all modules and results from university-level courses taken. Research statements and topics of particular interest to the candidate (300 words). All qualified individuals are encouraged to apply. Deadline for applications: May 31th, 2019
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