Luxembourg National Research Fund’s in University of Luxembourg
offers Postdoctoral Research Position in Luxembourg Centre for Systems
Biomedicine. The Research Position is provided to learn Machine Learning
and Bioinformatics. The applicants applying for the position should
have PhD in Machine Learning, Bioinformatics, Computer Science, Physics,
Math or related disciplines. Eligible applicants must submit their
applications till 8th March 2013.
Study Subject(s): The scholarship is provided to study Machine Learning and Bioinformatics.
Course Level : This scholarship is available for pursing Postdoctoral Research program.
Scholarship Provider : Luxembourg National Research Fund’s
Scholarship can be taken at : Luxembourg
Course Level : This scholarship is available for pursing Postdoctoral Research program.
Scholarship Provider : Luxembourg National Research Fund’s
Scholarship can be taken at : Luxembourg
Eligibility: -PhD in Machine Learning, Bioinformatics, Computer Science, Physics, Math, or related disciplines.
-Very strong math and programming skills.
-Fluent in oral and written English.
-Very strong math and programming skills.
-Fluent in oral and written English.
Scholarship Open for International Students: The students of Luxembourg can apply for this scholarship.
Scholarship Description: The successful candidate will participate in a newly funded research project in the overlap of Machine 
Learning
and Bioinformatics that focuses on the representation and efficient
learning (discovery) of DNA sequence motifs from high-throughput
sequence data, such as those obtained by protein binding micro arrays
and related technologies. The two key questions that will be addressed
are (1) what is an appropriate probabilistic model to capture possible
dependencies in motif sequences in a given biological context, and (2)
how such a model can be efficiently learned from (large-scale) data.
Specific questions that will be addressed involve the computational
requirements of learning, the robustness of the learner to model
misspecifications, and model generalization issues. The project aims at
developing novel theory and algorithms around modern Machine Learning
themes such as spectral methods for learning probabilistic mixtures and
stochastic controllers for high-dimensional data.
Learning
and Bioinformatics that focuses on the representation and efficient
learning (discovery) of DNA sequence motifs from high-throughput
sequence data, such as those obtained by protein binding micro arrays
and related technologies. The two key questions that will be addressed
are (1) what is an appropriate probabilistic model to capture possible
dependencies in motif sequences in a given biological context, and (2)
how such a model can be efficiently learned from (large-scale) data.
Specific questions that will be addressed involve the computational
requirements of learning, the robustness of the learner to model
misspecifications, and model generalization issues. The project aims at
developing novel theory and algorithms around modern Machine Learning
themes such as spectral methods for learning probabilistic mixtures and
stochastic controllers for high-dimensional data.
Applicant’s Role: Carry out fundamental research in Machine Learning and Bioinformatics.
Develop new algorithms and make them publicly available.
Publish in top-notch international conferences and journals.
Participate in team meetings, local workshops, and university events.
Assist in the preparation of project reports.
Develop new algorithms and make them publicly available.
Publish in top-notch international conferences and journals.
Participate in team meetings, local workshops, and university events.
Assist in the preparation of project reports.
Number of Awards: Not Known
Duration of Awards: Fixed-term contract 2 years, 40h/week, may be extended up to 5 years.
What does it cover? -Fully funded research position with exclusive focus on fundamental research.
-International working environment with very modern facilities.
-The University offers highly competitive salaries based on the candidate’s experience and is an equal opportunity employer.
-International working environment with very modern facilities.
-The University offers highly competitive salaries based on the candidate’s experience and is an equal opportunity employer.
How to Apply: The applications are to be submitted online.
Scholarship Application Deadline: Applications are to be submitted till March 8, 2013.
