---------- Forwarded message ----------
From: Jaakko Peltonen <jaakkotapanipeltonen@gmail.com>
Date: Mon, Oct 24, 2011 at 5:48 PM
Subject: [ML-news] PhD student position [2nd call, deadline Oct 31], statistical machine learning, exploratory data analysis, visualization, and multi-task learning (Helsinki, Finland)
To: Machine Learning News <ml-news@googlegroups.com>
Aalto University School of Science invites applications for a
doctoral student / research assistant
position for a fixed term (initially 1 year, extension possible up to
4 years total depending on availability of funding).
Start date: 14 November 2011 (negotiable).
Application deadline: 31 October 2011, 3pm Finnish local time.
You will develop advanced machine learning methods for nonlinear
dimensionality reduction, visualization, and exploratory data analysis
with multiple data sources. You will create novel probabilistic models
for the structure and dependencies within and between multiple partly
related data sets. The developed methods will be used in
bioinformatics, neuroinformatics, analysis of structured data like
graphs, and other applications. We have recently developed novel
frameworks for visualization from an information retrieval
perspective, and for multitask learning in asymmetric scenarios; your
work will build on and extend these research lines.
Research Site:
The position is at the Department of Information and Computer Science,
Aalto University School of Science (previously Helsinki University of
Technology). The focus of the Department's research and teaching
activity is on advanced computational methods for modelling,
analysing, and solving complex tasks in technology and science. The
research aims at the development of fundamental computer science
methods for the analysis of large and high-dimensional data sets, and
for the modelling and design of complex software, networking and other
computational systems. The department employs approximately 150 people
and operates with a total annual budget of approximately 9 MEUR. The
department hosts the Finnish Centre of Excellence in Adaptive
Informatics Research (AIRC) and part of the Finnish Centre of
Excellence in Algorithmic Data Analysis Research, and will host part
of the new Finnish Centre of Excellence in Computational Inference
Research (COIN) which starts in 2012. The department was ranked among
the top two departments of Aalto University in the Research Assessment
Exercise 2009.
The position is located in the Statistical Machine Learning and
Bioinformatics research group at the Department. The group is part of
Helsinki Institute for Information Technology HIIT in Aalto
University. The group is a member of the Finnish Centre of Excellence
in Adaptive Informatics Research (AIRC) and the new Finnish Centre of
Excellence in Computational Inference Research (COIN), and is also a
member in the EU PASCAL2 network of excellence. The work will be
supervised by the principal investigator of the project, academy
research fellow Jaakko Peltonen. The work involves collaboration with
Finnish researchers including members of the Statistical Machine
Learning and Bioinformatics research group led by Prof. Samuel Kaski,
and international researchers from the UK, Belgium, and the USA.
The research site is located on the Aalto University campus in
Otaniemi, a short bus ride away from the centre of Finland's capital
Helsinki. Helsinki and the capital area are a great place to live,
with numerous local attractions and events, scenic landscapes of small
forests, islands and urban areas, a high standard of living, and
excellent travel connections. Helsinki is the World Design Capital in
2012.
Department website: http://ics.tkk.fi/en/
HIIT website: http://www.hiit.fi/
Research group website: http://research.ics.tkk.fi/mi/
Principal investigator website: http://users.ics.tkk.fi/jtpelto/
Required and Desired Qualities of the Applicant:
A successful applicant must have a MSc degree in computer science,
electrical engineering, mathematics, physics, or a related field. It
is also possible to start as a research assistant working on one's
Master's thesis.
- A strong mathematical background and an interest in probabilistic
modeling and/or machine learning are necessary.
- An interest in some of the following topics is essential:
dimensionality reduction, manifold learning, visualization, and multi-
task learning. Experience in these topics is an advantage.
- A strong study record and strong track record in research are
advantages.
- Good programming skills in languages such as C/C++/Matlab/R/Python
and good written and spoken communication skills are desired.
Contract Details:
The salary will be determined based on the Aalto University salary
system (2200-3200 euro per month before tax for a doctoral student
depending on qualifications and performance). The initial appointment
will be for one year. Extension will be possible depending on the
availability of funding; funding may become available for up to 4
years total.
Application Procedure:
The application deadline is 31 October 2011, 3pm Finnish local time.
The application materials must include a curriculum vitae, a copy of
study records, contact details of at least two references, and any
other materials deemed relevant. Applications must be submitted to the
Registry of Aalto University, no later than the deadline. Applications
must be submitted preferably by email to kirjaamo@aalto.fi or
alternatively by physical mail to The Registry of Aalto University,
Aalto University, P.O.Box 11000, FI-00076 Aalto, Finland (street
address Otakaari 1, Espoo).
Candidates may be asked for an interview at Aalto University or via
phone or Skype.
For additional information, please contact academy research fellow
Jaakko Peltonen or HR Coordinator Stefan Ehrstedt. E-mail:
firstname.lastname@aalto.fi
See also this ad online:
http://www.aalto.fi/en/current/jobs/teaching_and_research/doctoral_student-research_assistant/
Application materials will not be returned.
Otaniemi 4 October 2011
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From: Jaakko Peltonen <jaakkotapanipeltonen@gmail.com>
Date: Mon, Oct 24, 2011 at 5:48 PM
Subject: [ML-news] PhD student position [2nd call, deadline Oct 31], statistical machine learning, exploratory data analysis, visualization, and multi-task learning (Helsinki, Finland)
To: Machine Learning News <ml-news@googlegroups.com>
Aalto University School of Science invites applications for a
doctoral student / research assistant
position for a fixed term (initially 1 year, extension possible up to
4 years total depending on availability of funding).
Start date: 14 November 2011 (negotiable).
Application deadline: 31 October 2011, 3pm Finnish local time.
You will develop advanced machine learning methods for nonlinear
dimensionality reduction, visualization, and exploratory data analysis
with multiple data sources. You will create novel probabilistic models
for the structure and dependencies within and between multiple partly
related data sets. The developed methods will be used in
bioinformatics, neuroinformatics, analysis of structured data like
graphs, and other applications. We have recently developed novel
frameworks for visualization from an information retrieval
perspective, and for multitask learning in asymmetric scenarios; your
work will build on and extend these research lines.
Research Site:
The position is at the Department of Information and Computer Science,
Aalto University School of Science (previously Helsinki University of
Technology). The focus of the Department's research and teaching
activity is on advanced computational methods for modelling,
analysing, and solving complex tasks in technology and science. The
research aims at the development of fundamental computer science
methods for the analysis of large and high-dimensional data sets, and
for the modelling and design of complex software, networking and other
computational systems. The department employs approximately 150 people
and operates with a total annual budget of approximately 9 MEUR. The
department hosts the Finnish Centre of Excellence in Adaptive
Informatics Research (AIRC) and part of the Finnish Centre of
Excellence in Algorithmic Data Analysis Research, and will host part
of the new Finnish Centre of Excellence in Computational Inference
Research (COIN) which starts in 2012. The department was ranked among
the top two departments of Aalto University in the Research Assessment
Exercise 2009.
The position is located in the Statistical Machine Learning and
Bioinformatics research group at the Department. The group is part of
Helsinki Institute for Information Technology HIIT in Aalto
University. The group is a member of the Finnish Centre of Excellence
in Adaptive Informatics Research (AIRC) and the new Finnish Centre of
Excellence in Computational Inference Research (COIN), and is also a
member in the EU PASCAL2 network of excellence. The work will be
supervised by the principal investigator of the project, academy
research fellow Jaakko Peltonen. The work involves collaboration with
Finnish researchers including members of the Statistical Machine
Learning and Bioinformatics research group led by Prof. Samuel Kaski,
and international researchers from the UK, Belgium, and the USA.
The research site is located on the Aalto University campus in
Otaniemi, a short bus ride away from the centre of Finland's capital
Helsinki. Helsinki and the capital area are a great place to live,
with numerous local attractions and events, scenic landscapes of small
forests, islands and urban areas, a high standard of living, and
excellent travel connections. Helsinki is the World Design Capital in
2012.
Department website: http://ics.tkk.fi/en/
HIIT website: http://www.hiit.fi/
Research group website: http://research.ics.tkk.fi/mi/
Principal investigator website: http://users.ics.tkk.fi/jtpelto/
Required and Desired Qualities of the Applicant:
A successful applicant must have a MSc degree in computer science,
electrical engineering, mathematics, physics, or a related field. It
is also possible to start as a research assistant working on one's
Master's thesis.
- A strong mathematical background and an interest in probabilistic
modeling and/or machine learning are necessary.
- An interest in some of the following topics is essential:
dimensionality reduction, manifold learning, visualization, and multi-
task learning. Experience in these topics is an advantage.
- A strong study record and strong track record in research are
advantages.
- Good programming skills in languages such as C/C++/Matlab/R/Python
and good written and spoken communication skills are desired.
Contract Details:
The salary will be determined based on the Aalto University salary
system (2200-3200 euro per month before tax for a doctoral student
depending on qualifications and performance). The initial appointment
will be for one year. Extension will be possible depending on the
availability of funding; funding may become available for up to 4
years total.
Application Procedure:
The application deadline is 31 October 2011, 3pm Finnish local time.
The application materials must include a curriculum vitae, a copy of
study records, contact details of at least two references, and any
other materials deemed relevant. Applications must be submitted to the
Registry of Aalto University, no later than the deadline. Applications
must be submitted preferably by email to kirjaamo@aalto.fi or
alternatively by physical mail to The Registry of Aalto University,
Aalto University, P.O.Box 11000, FI-00076 Aalto, Finland (street
address Otakaari 1, Espoo).
Candidates may be asked for an interview at Aalto University or via
phone or Skype.
For additional information, please contact academy research fellow
Jaakko Peltonen or HR Coordinator Stefan Ehrstedt. E-mail:
firstname.lastname@aalto.fi
See also this ad online:
http://www.aalto.fi/en/current/jobs/teaching_and_research/doctoral_student-research_assistant/
Application materials will not be returned.
Otaniemi 4 October 2011
--
You received this message because you are subscribed to the Google Groups "Machine Learning News" group.
To post to this group, send email to ml-news@googlegroups.com.
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Ali Mustafa
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