The faculty of Computer Science and Media Technology announces 12 PhD projects. The faculty consists of two sections: the Norwegian Information Security Laboratory (NISlab) and the Media Technology Laboratory (MTL). Of the 12 positions are 8 within NISlab and the remaining 4 withing MTL.
Positions within NISlab (click on the project title for more detailed information) :
Algorithmic Game-Theoretical Models of Colluding Adversaries under External Constraints (NISlab)
The project seeks to extend recent results in coalitional and algorithmic game theory where the transferable utility assumption commonly made does not hold. These constraints arise from the notion of active adversaries, which do not allow for equilibria to be studied naively, and also from the need to accomodate the existence of a nature player simultaneously.
Contact: Prof. Stephen Wolthusen (stephen.wolthusen@ hig.no).
Civil Law Concepts in Access Control (NISlab)
The project is to investigate how access control models could benefit from integration of civil law concepts: Business contracts could be more easily expressed as access control policies; liability for events in computer systems could be addressed more easily.
Contact: Assoc. Prof. Hanno Langweg (hanno.langweg@ hig.no).
Fake-Resistant Fingerprint Biometrics
Authentication of individuals based on fingerprints is a widely used approach. However it is easy to reproduce an artefact and thus fake state of the art sensors. The project shall research effective spoofing countermeasures based on new imaging techniques.
Contact: Prof. Christoph Busch (christoph.busch@ hig.no).
Forensic Author Attribution (NISlab)
The project will study machine-learning techniques for the forensic attribution and identification of authors of text-based communication, e.g., email, messages and chat. Main objective is to design computational methods that are able to cope with sparse, imbalanced data sets, obfuscation, and partial knowledge in the final decision-making.
Contact: Prof. Katrin Franke (katrin.franke@ hig.no).
KEYstroke dynamics BiOmetric Authentication Research and Development (KEYBOARD) (NISlab)
The project seeks to investigate security and performance of static and continuous keystroke dynamics systems. Special attention will be on biometric keystroke dynamics on mobile devices like iPad and using keystroke dynamics to enhance security for online. One of the main research goals will be to investigate the security of keystroke dynamics systems.
Contact: Assoc. Prof. Patrick Bours (patrick.bours@ hig.no).
Large-Scale Online Learning for Intrusion Detection and Proactive Forensics (NISlab)
The project will study and develop new machine-learning techniques for intrusion detection and proactive forensics. A main objective is to design computational methods and algorithms that are able to cope with massive data, obfuscation, adversarial activities and changing environments.
Contact: Prof. Katrin Franke (katrin.franke@ hig.no).
Process Tracking for Forensic Readiness in Operating Systems (NISlab)
Forensic analysis of computer systems suffers from a sparseness of logging of events. The project seeks to establish a log of all state-changing activities of important processes, analogous to a flight data recorder used to investigate plane crashes.
Contact: Assoc. Prof. Hanno Langweg (hanno.langweg@ hig.no).
Using Theories from Economics and Finance to Address Information Security Risk Management (NISlab)
Risk is a consequence of lack of information. To ensure effective risk management, it is not obvious what kind of information should be collected and how much resources should be spent on collecting this additional information. The research will take a multidisiplinary perspective, importing ideas from (behavioural) economics, (computational) finance, Information Security, Computer Science etc.
Contact: Prof. Einar Snekkenes (einar.snekkenes@ hig.no).
Positions within MTL (click on the project title for more detailed information) :
Audio- and Video-Guided Interactive Performance of Computer Music (MTL)
The project is to investigate into how auditory, visual, and other clues and cues can be used to guide the performance of computer music, turning the computer into more of an interplayer. This will enable the improvisation tempo, dynamics and phrasing found in human performances.
Contact: Assoc. Prof. Ivar Farup (ivar.farup@hig. no).
Mobile and Web-Based Learning (MTL)
This project focuses on the use of mobile and web-based technologies in technology-enhanced learning. A main objective is to investigate how such technologies can be used to improve the value and the importance of students' own learning activities as they are creating, interacting with, augmenting, and sharing learning objects.
Contact: Prof. Rune Hjelsvold (rune.hjelsvold@ hig.no).
Mobile Augmented Reality and Pervasive Gaming (MTL)
This projects focuses on the intersection of mobile augmented reality with gaming. Specific areas of research will include improvements to the tracking, display, and interaction with augmented data.
Contact: Assoc. Prof. Simon McCallum (simon.mccallum@ hig.no).
Quality Evaluation and Enhancement of Reproduced Images (MTL)
The project will focus on the development of image quality metrics correlated with perceived image quality as well as the innovative usage of such metrics to improve or optimise the quality of colour image reproduction algorithms, devices, or systems.
Contact: Prof. Jon Yngve Hardeberg (jon.hardeberg@ hig.no).
General information on a PhD positions at the faculty of Computer Science and Media Technology, as well as specific information on NISlab can be provided by the head of NISlab, Ass.Prof. Patrick Bours (patrick.bours@ hig.no). Specific information on MTL can be provided by the head of MTL, Ass.Prof. Terje Stafseng (terje.stafseng@ hig.no). All the above position will soon be officially announced at http://english.hig.no/about/vacancies (or http://www.hig.no/om_hig/ledige_stillinger for the norwegian version).
General requirements for these 12 PhD positions:
The successful candidates will be chosen to provide the best possible match between research projects and candidate qualifications. Candidates should state clearly one or at most two projects of interest from the above lists. Applications must be made through the electronic application system EasyCruit (link will be availble from http://english.hig.no/about/vacancies and http://www.hig.no/om_hig/ledige_stillinger).
Candidates are expected to have successfully completed an undergraduate and MSc degree in a relevant discipline and should have demonstrated the ability to successfully conduct research projects. English language proficiency (both written and spoken) should also be documented. Individual research areas described above may have further requirements.
Gjøvik University College particularly invites applications from qualified female candidates. The department provides a friendly, highly international research environment using English as its working language.
http://www.nislab.no/jobs
Please quote 10 Academic Resources Daily in your application to this opportunity!
