[TYPES/announce] Open PhD Position in Programming Languages and Statistical Machine Learning at KTH, Sweden

[David Broman]

KTH Royal Institute of Technology at the School of Information and Communication Technology (ICT), Sweden, has a new open position as 

** PhD student in Programming Languages and Statistical Machine Learning**

Job description:

The doctoral student position focuses on the combination of programming language theory and statistical machine learning. In particular, the emphasis is on designing new domain-specific modeling languages and abstractions that enable a clear separation between probabilistic models and inference algorithms. The doctoral student will be involved in a larger project and work with researchers from both KTH Royal Institute of Technology and Uppsala University. The doctoral student will be part of the Model-Based Computing Systems (MCS) research group and be supervised by Associate Professor David Broman. Besides research studies, the student is expected to teach up to 20 % of the working time.

Qualifications:

The applicant should hold a Master of Science degree or a degree that fulfills the entry requirements for doctoral education at KTH. The ideal candidate has very good mathematical and programming skills. Experience in one or more of the following areas are beneficial: Mathematical Modeling, Statistical Machine Learning, Compilers, Algorithms, and Programming Language Theory. Besides technical and mathematical skills, the candidate is expected to be a curious and ambitious person who is strongly motivated to conduct research. He or she should be used to work in a structured way and have the ability to work both individually and in teams. Good communication skills in both oral and written English are required.

Application deadline: September 30, 2016.

For more information, see:
http://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:104001/where:4/

About KTH:
Since its founding in 1827, KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world dedicated to advancing knowledge.
For more information, see https://www.kth.se/en/om/fakta





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David Broman
Associate Professor

KTH Royal Institute of Technology
ICT/SCS
Electrum 229
164 40 Kista
Sweden

office: +46 8 790 42 74
cellular. +46 73 765 20 44
web: http://people.kth.se/~dbro/
email: dbro at kth.se