Phd Student Computer Science, in Particular. Machine Learning in Autonomous Sisters Umeå University, Department of Computer Science

PhD student computer science, in particular. machine learning in autonomous sisters. 


Department of Computer Science

 

Project: Context-based machine learning for autonomous systems


Umeå University is seeking a PhD student in Wallenberg Autonomous Systems and Software Program (WASP ) focusing on learning methods to learn optimally or acceptably autonomously in new and unexpected situations. The position is located at the Department of Computer Science. The research program comprises four years of full-time studies. The closing date is January 8, 2018.


The Department of Computer Science is a dynamic institution with about 100 employees from more than 20 countries. We conduct education and research in a wide range of computer science, offering education at the first level, advanced level and research level. The Department's research is internationally well-established and includes basic research, method development and program development, but also research and development in various applications. The work is carried out under the guidance of Prof. Kary Främling (computer science) and covers subjects such as artificial intelligence and various machine learning methods. In addition, semantic networks and technologies, neural networks, rule-based systems and reward-based learning (reinforcement learning) keywords for work.( http://www.biotope-project.eu/) .


Wallenberg Autonomous Systems and Software Program ( WASP)


WASP ( http://wasp-sweden.org/ ) is Sweden's largest individual research program ever and offers a platform for academic research and education that interacts with Swedish leading industry. The program conducts research on autonomous systems that interact with people and adapt to the current environment using sensors, information and knowledge in an intelligent system of systems. WASP's core values are the research sex and industrial relevance.


The research school in WASP is dedicated to providing the skills required to analyze, develop and contribute to the interdisciplinary field of autonomous systems and software development. The curriculum offers the basics, perspectives and the latest knowledge in different sciences with the teaching of leading researchers. Through the ambitious program of research visits, partner university and visiting lecturers, the research school actively supports the construction of a strong interdisciplinary and international professional network between doctoral students, researchers and industry.


The graduate school offers added value to the university's existing doctoral student program and a unique opportunity for students who are attracted to international world-class research with high industrial relevance.


Project description 


project is part of the following overall vision: Developing pioneering methods for autonomous systems to learn from data and experience, as well as being able to explain and motivate their decisions .


The research will be focused especially in the following areas:


Intelligent Control: Develop and apply reward-based learning (reinforcement learning) and other learning methods for self-learning and self-optimizing control.


Built-in intelligence: More memory and counting capabilities can be built into different systems, thus learning and adapting to different situations and conditions. In addition, embedded systems can communicate with other systems (built-in, in "cloud" or elsewhere) and connect with them for more comprehensive information and to optimize the functionality of larger systems.


Autonomous agents and systems of agents to create so-called "Cyber-Physical Systems" (CPS) where different systems, including complex ones, can control and control their function under the so-called System of Systems (Systems of Systems, SoS; see t .ex. https://ec.europa.eu/digital-single-market/en/system-systems) principles. CPS also takes into account the human factor and society in general.


A term that can be used to describe such systems is Self-*, which means systems capable of configuring themselves, organizing themselves with other systems, adjusting their own behavior, diagnosing and repairing themselves, and administering themselves for payment. , software updates, call for external help, etc. The project is expected to advance the development of such Self-* systems, especially in the so-called Internet of Things (IoT) context where information from donors, control systems, users and other systems forms an intelligent system of systems where different systems can communicate over standardized protocols and thus also maintain self-capability as they interact in larger systems.


About the employment 


appointment is intended for a doctorate and is limited to four years full-time or up to five years for part-time teaching (max 20%). The PhD candidate is expected to be appointed 2018-04-01, or by appointment.


Qualifications


The basic eligibility requirements for admission to education at the postgraduate level are graduated at advanced level, or completed courses of at least 240 higher education credits, of which at least 60 higher education credits or equivalent foreign education or equivalent qualifications. The special eligibility requirements for admission to postgraduate education in computer science are completed at advanced level of at least 60 higher education credits in computer science or another subject deemed to be directly relevant to the current research focus.
Applicants are expected to have a background in computer science, preferably with specialization in artificial intelligence or machine learning. Knowledge in distributed (web) programming and computing is also considered a merit. A very good understanding of basic concepts in computer science and good programming experience are important features. Because research is done in collaboration with international researchers in different disciplines, good cooperation is required. One requirement is that the applicant must be able to speak and write English fluently.


Application 


application must be written in Swedish or English and contain:

 

  • A personal letter with a brief description of your research interests and a motivation for your search, as well as your contact information
  • A CV (CV)
  • Copies of master's and master's theses, as well as other scientific publications
  • Grade copies, diplomas, and documentation of completed academic courses
  • Contact information for two asked contacts


The application must be made via the Varbi e-recruitment system and be received by 2018-01-08 . Reference Number: AN 2.2.1-1782-17.


As we strive for a more even gender distribution within the institution, we encourage women as applicants.
According to the Higher Education Ordinance (Chapter 12, Section 2), the decision on employment can not be appealed.


Further information is provided by Professor Kary Främling, Kary.Framling@cs.umu.se


Welcome with your application!


Type of employment
Fixed-term employment longer than 6 months


Extent
100%


Salary
Monthly Salary


Contact
Kary Främling
Tel: kary.framling@umu.se


Union contacts
SACO
Tel: 090-786 53 65


SEKO
Tel: 090-786 52 96


ST
Tel: 090-786 54 31


Access
2018-04-01


Reference number
AN 2.2.1-1782-17


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