Research positions
Research Fellow, Research Associate (signal processing, virtual reality)
We are inviting highly qualified candidates to apply for a Research Fellow and for Research Associate, for a period of 1-3 years. The research team is led by Prof Olga Sourina and includes professors from EEE, SCE, and MAE, 3-4 PhD students, and collaborators from Singapore industry.
Job Description
The job is in the interdisciplinary area of research including signal processing, virtual reality, and computer graphics.
The project will be carried out in School of Electrical and Electronic Engineering
at Nanyang Technological University, Singapore and Institute of Media Innovation.
The goal of the project is to propose new forms of human-centric and human-driven interaction with digital media that have the potential of
revolutionizing entertainment, learning, and many other areas of life.
In this project, new algorithms of emotion/engagement based user interactions in Co/Space
will be developed and implemented. Thus, the user of interactive digital media could have a new emotion-based personalized digital experience
that would add seamlessness to the user’s engagement through the interface in many applications such as
learning, entertainment, medical application, etc. The content can be driven by the user’s emotions and/or engagement interpreted from
the user’s electroencephalograms (EEG) signals. Application of the algorithms in entertainment industry
such as 3D collaborative environments and games will be proposed.
Requirements
- A PhD degree in Electrical and Electronics Engineering/Computer Engineering/Computer Science or related-fields for RF position.
- A MSc/MEng degree in Electrical and Electronics Engineering/Computer Engineering/Computer Science or related-fields for RA position.
- Advanced programming skills.
- Knowledge of one or more of the following areas will be an advantage: signal processing, 3D computer graphics, virtual reality, collaborative virtual environments, web programming.
- Strong analytical, mathematical and conceptual abilities and able to work independently and in a team.
- Good written and oral communication skills.
Remuneration & Benefits
Successful candidates will be offered a competitive salary and benefits based on their qualifications.
Cost of living
Refer to http://www.xpatxperience.com/makinghome/singapore_cost_of_living.shtml
for the cost of living in Singapore. You can also search the internet for it and find other independent assessments. If you have particular questions, you could ask me by email.
Term of Appointment
The appointment will be for 1 year with an opportunity to an extension.
Contact Person
Send your complete CV and expected salary via email to:
Asst Prof Olga Sourina
Homepage: http://www.ntu.edu.sg/home/eosourina
Email: eosourina@ntu.edu.sg
School of Electrical & Electronic Engineering
Nanyang Technological University
S2.2-b2-22, Singapore 639798
Phone: +65 6790-5442
PhD Scholarships
Interactive Digital Media ( Virtual Reality, Signal Processing)
PhD projects from external funding IDM: Emotion-based personalised digital media experience in Co-Spaces. The starting date January 2011.
Supervisor Asst. Prof. Olga Sourina eosourina@ntu.edu.sg
Possible PhD topics:
- EEG-based e-learning
- EEG-based medical applications
- Emotion-based personalised digital media experience in 3D collaborative virtual spaces
- Knowledge of one or more of the following areas will be an advantage: signal processing, 3D computer graphics, virtual reality, collaborative virtual environments, web programming.
Traditionally, EEG-based technology has been applied in medical applications. Now, new wireless headsets that meet consumer criteria for wearability, price, portability and ease-of-use are coming to the market. It makes possible to spread technology to applications in other areas such as entertainment, e-learning, virtual worlds, cyberworlds, etc. The student will work on mathematical model and algorithms of quantification of basic emotions and implementation of the feedback in 3D virtual collaborative spaces. Application of the algorithms in entertainment industry such as 3D collaborative environments and games, will be proposed.
Traditionally, EEG-based technology has been applied in medical applications. Now, new wireless headsets that meet consumer criteria for wearability, price, portability and ease-of-use are coming to the market. It makes possible to spread technology to applications in other areas such as entertainment, e-learning, virtual worlds, cyberworlds, etc. The student will work on mathematical model and algorithms of quantification of levels of the user’s engagement (from relax to concentration) and implementation of the feedback in 3D virtual spaces. Application of the algorithms in e-learning: educational games, and e-learning will be proposed.
Bio-medical engineering
Supervisor Asst. Prof. Olga Sourina eosourina@ntu.edu.sg
- Modeling and Visual Analysis of Psychosomatic Phenomena.
To develop novel mathematical models of psychosomatic interactions in humans. Based on such a model, some practical recommendations on improving the psychological state in humans and /or interactive/VR software systems are to be developed to improve the general health conditions in different groups of humans. The final deliverable of the project will be psycho-feedback methodology and algorithms that are to be tested on real patients.
Interactive Digital media
Supervisor Asst. Prof. Olga Sourina eosourina@ntu.edu.sg
- Visual Haptic Rendering for Molecular Docking
The computer graphics methods and techniques allow real-time interactive visualization and manipulation of 3-dimensional (3D) objects in virtual environment. The assembly of molecules in a 3D space or molecular docking is used for rational drug design. These techniques help the user to understand molecular interactions and to evaluate the design of pharmaceutical drugs. In recent years, besides the visualization techniques, there has been increasing interest in using haptic interfaces to facilitate the exploration and analysis of molecular docking. Haptic device could enable the users to manipulate the molecules and feel its interaction during the docking process in virtual laboratory or even in shared collaborative environment. In this project, novel methods and algorithms of visual and haptic rendering will be proposed and implemented in biomolecular docking system.
Bio-informatics
Supervisor Asst. Prof. Olga Sourina eosourina@ntu.edu.sg
- Data mining techniques for mining dynamic data in Bio-informatics
Bio-informatics is a rapid developing research area that has its roots both in biology and data mining. In bio-informatics, the goal of the scientists is to determine which of data is important and target that information. Using several different approaches against the same data set, one can generate biologically significant conclusions with a high degree of confidence. Molecular dynamics is one of the topics in DNA study. The aim of this project is to study the knowledge domain of molecular dynamics and propose geometric model and efficient algorithms for solving the problems of data mining time-dependent data.
Data Mining, Soft Computing
Supervisor Asst. Prof. Olga Sourina eosourina@ntu.edu.sg
- Novel Fuzzy Clustering Techniques
Cluster analysis divides data into groups of clusters in order to improve understanding or to find structure in data. In real applications, it is often the case when there is no sharp boundary between clusters, then the fuzzy clustering is more suited for the data. The objective of the project is to develop novel fuzzy clustering models to discover static clusters and study time-dependent clusters. In our model, we will consider the cases when objects could move from one cluster to another. The efficient algorithms for interactive clustering based on these models will be developed.
Significance and aims of proposed research topic :
Fuzzy data mining is receiving wide interest in both academic and industrial worlds. Visualization offers an intuitive way of analysis that can help to discover data patterns and structures in data. The aim of the project is to develop geometric fuzzy clustering models and algorithms for knowledge discovery in engineering or/and bio-informatics data. The methods and algorithms to be developed and implemented as a system prototype will let the user to define and classify fuzzy clusters interactively with potential beneficiaries in areas such as engineering, bio-informatics, etc. It is expected that the system prototype will improve the exploration of scientific and engineering data allowing the user to discover the patterns that, otherwise, would remain hidden in data.