One master’s thesis position is open at the department of Signal Processing and Acoustics. The topic of the thesis work is the implementation of an audio toolset for game and virtual-world applications, and creating demonstrations with the finished implementation. This toolset is based on the Directional Audio Coding -technology developed at the department. With this technology, it is possible to efficiently reproduce and synthesize spatial sound. The main task of the master’s thesis is to program a specified implementation of the technology and to produce applications with it.

Requirements

• C-programming skills

• Basics of digital signal processing (e.g., course T-61.3015 Digitaalinen signaalinkäsittely ja suodatus)

• Acoustics as a major or minor subject in studies

• English skills

  Useful skills counted as advantage

• More experience in programming than just the basic courses of pro- gramming

• Experience in Max/MSP or Pure Data

• Further experience in digital audio signal processing

  • –  Course S-89.3510 DSP Processors and Audio Signal Processing

  • –  Course S-89.3540 Audio Signal Processing P

  • –  Course S-88.3104 Digital Signal Processing Systems

  • –  Course S-89.3460 Spatial Sound P

  • –  Anything else related to real-time audio signal processing or time- frequency processing

• Programming experience in Max OS X -environment (and thus Xcode)
  

The work lasts for six months. Work should start as early as possible during fall 2012.

Send your application before September 15 to prof Ville Pulkki with e-mail (ville.pulkki@aalto.fi). In your application, attach a freeform application letter and record of your studies. Based on the received applications, the best applicants are invited to an interview.

Master thesis worker

The Departments of Communications and Networking and Signal Processing and Acoustics at Aalto ELEC are looking for a master thesis worker/researcher. The thesis work will be done in a project funded by Renesas Mobile Europe (RME) and in close cooperation with personnel of RME’s System Research and Standardization (SRS) organization.

Description:

The thesis is in the field of cellular network system simulations. Your role will be in LTE system simulations and concept development. The work is targeted to diploma thesis, but is well suited for graduate students as well.

Your main tasks will include system performance analysis and simulations for cellular systems, in particular for LTE. Simulations shall be run with either dynamic or quasi-static radio network system simulator. Potential research areas may include some of the following topics:

• MIMO/CoMP:

  • Coordinated multi-point operation (CoMP): DL/UL scheduling & RRM, feedback design for joint processing, coordinated beamforing/scheduling, heterogeneous operation.

  • Single cell MIMO operation including both single user and multiuser MIMO: scheduling & RRM, precoding and CQI optimization, dynamic operation of single/multi-user.

• Heterogenous networks: Simulation of mobility performance in Heterogeneous networks with interference coordination, optimization & RRM algorithms in Heterogeneous networks

Qualifications for the position:

•  

  • Good understanding of the LTE system

  • Good understanding of radio communication theory and system performance analysis

  • The capability to apply mathematical analysis to practical issues in system development

  • Good understanding of MIMO/CoMP theory

  • Excellent C/C++/MATLAB coding skills

  • Technical writing skills

  • Proactiveness and good ability for teamwork

If you are interested in the position, please send your application latest 7.3.2012.

Profs. Olav Tirkkonen and Risto Wichman;

olav.tirkkonen (at) aalto.fi, wichman (at) wooster.hut.fi

Doctoral student position in speech technology and cognitive science

Job description:

We offer a full-time position for a doctoral student in a research group aiming at the development of a cognitive architecture for unsupervised multimodal sensory data processing. More specifically, the research is focused on computational systems that can sense their environment through multiple sensors, discover statistically significant patterns from the data in an unsupervised manner, and learn dependencies between the patterns in different modalities in order to be able to make sense of the sensory input. Much of the actual work is done in the context of modelling of first language acquisition, i.e., building an artificial agent that learns to understand and produce speech on its own. However, the idea is to study and develop universal processing mechanisms that can be applied to any type of generic sensory data input.

Research topic related to the current position is not fixed, but can cover, e.g., predictive modelling of low-level sensory input, modelling of attention in an artificial computational system, internal representations of cognitive systems or integration of reinforcement learning principles to unsupervised data analysis techniques. Long-term goal of the position is a doctoral degree in science and the current project provides a solid starting point for the work towards a thesis. 

Requirements:

Due to the interdisciplinary nature of the work, we are looking for an applicant with a background, knowledge and a burning interest in one or more of the following fields:

- speech or signal processing, - machine learning, - pattern recognition, - cognitive science,         - cognitive psychology, - computational linguistics, or - artificial intelligence.

Also, a successful applicant will have a M.Sc. or an equivalent degree in a relevant field, good MATLAB programming skills, and is a fluent user of Finnish and English (both written and verbal). We also expect basic level skills and experience in signal processing.

Job details:

The current work will take place in a project From Data to Intelligence (D2I) funded by TEKES. The contract will last 12 months (with a 3 month trial period) for the period of 1.2.2012- 31.1.2013. Extension up to a total of three years may be possible in case of successful progress and continuation of project funding. The work will take place in the Department of Signal Processing and Acoustics at School of Electrical Engineering.

Salary:

Salary will be based on the agency-level agreement of Aalto University.

How to apply:

Please send your application to M.Sc. (tech.) Okko Räsänen (okko.rasanen@aalto.fi) by email. The deadline for applying is 15.2.2012. Please include at least the following documents in your application: a cover letter describing your background and motivation for the position, CV, a transcript of study records, and a letter of recommendation (if applicable).

For more information, please contact:

M.Sc. Okko Räsänen,                Prof. Unto K. Laine

okko.rasanen@aalto.fi              unto.laine@aalto.fi     

+358-09-470-22499                  +358-09-470-22492

Master’s thesis position in speech technology and cognitive science

Job description:
We are offering a full-time position for a Master’s thesis worker in a research group aiming at the development of a cognitive architecture for unsupervised multimodal sensory data processing. More specifically, the research is focused on computational systems that can sense their environment through multiple sensors, discover statistically significant patterns from the data in an unsupervised manner, and learn dependencies between the patterns in different modalities in order to be able to make sense of the sensory input. Much of the actual work is done in the context of modelling of first language acquisition, i.e., building an artificial agent that learns to understand and produce speech on its own. However, the long-term goal is to study and develop universal processing mechanisms that can be applied to the intelligent autonomous analysis of any type of generic sensory data input, and experiments can be also conducted in the context of other data types such as EEG-recordings or mobile phone sensory data.
Research topic related to the current position is not fixed, but can cover, e.g., predictive modelling of low-level sensory input, modelling of attention in an artificial computational system, internal representations of cognitive systems or integration of reinforcement learning principles to unsupervised data analysis techniques.

Requirements:
Due to the interdisciplinary nature of the work, we are looking for an applicant with a background, knowledge and a burning interest in one or more of the following fields:
- speech or signal processing, - machine learning, - pattern recognition, - cognitive science, - cognitive psychology, - computational linguistics, or - artificial intelligence.
Also, a successful applicant will have a B.Sc. in a relevant field, good MATLAB programming skills, and is a fluent user of English (both written and verbal). We also expect basic level skills and experience in signal processing. Persons with an existing M.Sc. degree are also eligible to apply for a post-graduate researcher position.

Job details:
The job will start 1.2.2012 or immediately after the recruitment has been completed. The work will take place in the Department of Signal Processing and Acoustics at School of Electrical Engineering.

Salary:
Salary will be based on the agency-level agreement of Aalto University.

How to apply:
Please send your application to M.Sc. (tech.) Okko Räsänen (okko.rasanen@aalto.fi) by email. The deadline for applying is 15.2.2012. Please include at least the following documents in your application: a cover letter describing your background and motivation for the position, CV, a transcript of study records, and letters of recommendation (if applicable).

For more information, please contact:
M.Sc. Okko Räsänen,          Prof. Unto K. Laine
okko.rasanen@aalto.fi        unto.laine@aalto.fi   
+358-09-470-22499            +358-09-470-22492