Job Description:
Research line 1: SYStems biology approach TOwards targeted Personalised Prevention of chronic diseases in the ‘obese system’ (SYSTOPP)
By studying the ‘obese system’, we aim to improve our mechanistic insight into the development of chronic diseases, and to identify new strategies for prevention and treatment based on personalised risk profiles for obese people. We will focus on data- and knowledge-driven approaches to integrate and mathematically model multi-omics data with phenotypic continuous traits and disease states, in the context of interacting environmental factors. We will use the large body of human data and samples available in Maastricht.
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We are looking for:
Candidates who are specialists in the approaches needed and who have the ambition and the competences to think and work outside the usual disciplinary boxes.
Postdocs will also be expected to contribute to teaching in current systems biology courses and in the future Maastricht University master’s programme in Systems Biology. Postdocs will be expected to compete for additional grants at the national and European levels, which will guarantee the sustainability of MaCSBio after the initial four-year start-up period.
We offer:
All positions are offered for a duration of four years.
After receiving a positive performance review and with enough perspective to create a sustainable centre after the first four years, postdocs will have ample opportunities to extend their stay or apply for tenure tracks within MaCSBio.
Post-doc salary is competitive, depending on qualifications and work experience. The salary will be set within salary scale 11 or 12 (with a possible preliminary scale) of the Collective Labour Agreement of Dutch Universities: a minimum of €3,259 and maximum of €5,070 gross per month for a full-time position.
In addition, postdocs receive a holiday bonus equal to 8% of their salary plus an 8.3% year-end allowance. Non-Dutch applicants could be eligible for favourable tax benefits (30% rule).
We offer you a stimulating scientific environment with excellent facilities for professional and personal development.
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SYSTOPP Postdoc 1
Project: Integrative analysis of large and heterogeneous datasets using explorative, data-driven approaches
Description:
The task of the postdoc is to develop modelling and mathematical approaches to integrate data from large and heterogeneous datasets at different levels of inquiry, including high-field MR imaging, genetic, and metabolomic data. The contribution will be focused on data-mining and especially understanding and handling emergent complexity in these multi-scale datasets. The ideal candidate will have a PhD in biostatistics, computer science, mathematics, or a related field, with demonstrated expertise in machine learning/data mining, and a proven interest in the biological domain, e.g. metabolic syndrome or neurodegenerative diseases. Excellent programming skills, and experience with analysis of large datasets with genomics and phenotypic data are considered a plus. The ideal candidate is a highly creative, motivated, and ambitious researcher with good communication skills, the potential to attract research funding, and the ability to participate successfully in a multidisciplinary research team.
Contact: Bert Smeets (bert.smeets@maastrichtuniversity.nl, +31 (0)43 3881995)
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SYSTOPP Postdoc 2
Project: Mathematical modelling of metabolic systems across time and disease states
Description:
This postdoc is expected to have a leading role in the quantitative modelling aspects of the different projects. Modelling approaches will include model selection, calibration, sensitivity analysis, and approaches for independent validation for dynamic metabolic modelling, multi-scale modelling and steady state approaches. The candidate should have a PhD in biomathematics or systems biology with ample experience in mathematical modelling, and existing productive collaborations in the systems biology community. The ideal candidate is a highly creative, motivated, and ambitious researcher with good communication skills, the potential to attract research funding, and the ability to participate successfully in a multidisciplinary research team.
Contact: Ilja Arts (ilja.arts@maastrichtuniversity.nl, +31 (0)43 3882971)
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SYSTOPP Postdoc 3
Description:
Research activities of this postdoc aim to improve whole body data integration by linking tissue-specific multi-omics and other data with molecular profiles in blood and urine, and to develop personalized chronic disease risk profiles. The postdoc in this position will also act as an integrator between the different projects under the SYSTOPP research line. We are looking for an experienced postdoc, with a strong track-record in systems biology, having a background in both mathematics, computer science or bio-informatics, and biology or biomedical sciences, and the ability to work across different disciplines. Experience with the analysis of large datasets and multi-omics data is essential. The successful candidate has a proven ability to attract research funding. We are looking for a highly creative, motivated, and ambitious researcher with excellent communication skills, with a team orientation and willingness to take a leading role in multi-disciplinary research.
Contact: Ralf Peeters (ralf.peeters@maastrichtuniversity.nl, +31 (0)43 3883365)
Job Information
Position Type: 3 Postdoc positions
Reference (Job ID number):
Start Date: ASAP
Duration: Full Time
Status: open
Contact Information
Maastricht University
Maastricht Centre of Systems Biology (MaCSBio)
http://macsbio.maastrichtuniversity.nl/
How To Apply: Your application should be sent to recruitmentfhs@maastrichtuniversity.nl before November 10th 2014. Please include:
* A motivation letter and CV/bibliography
* At least one letter of reference
* A copy of your diploma(s) and transcripts
* Clear indication for which position (s) e.g. SYSTOPP Postdoc 1 and SYSTOPP Postdoc 2 you apply and refer to the Academic Transfer number (AT2014.171).
An (e) assessment may be part of the procedure.
Additional Info:
[Click Here to Access the Original Job Post]
Research line 1: SYStems biology approach TOwards targeted Personalised Prevention of chronic diseases in the ‘obese system’ (SYSTOPP)
By studying the ‘obese system’, we aim to improve our mechanistic insight into the development of chronic diseases, and to identify new strategies for prevention and treatment based on personalised risk profiles for obese people. We will focus on data- and knowledge-driven approaches to integrate and mathematically model multi-omics data with phenotypic continuous traits and disease states, in the context of interacting environmental factors. We will use the large body of human data and samples available in Maastricht.
----
We are looking for:
Candidates who are specialists in the approaches needed and who have the ambition and the competences to think and work outside the usual disciplinary boxes.
Postdocs will also be expected to contribute to teaching in current systems biology courses and in the future Maastricht University master’s programme in Systems Biology. Postdocs will be expected to compete for additional grants at the national and European levels, which will guarantee the sustainability of MaCSBio after the initial four-year start-up period.
We offer:
All positions are offered for a duration of four years.
After receiving a positive performance review and with enough perspective to create a sustainable centre after the first four years, postdocs will have ample opportunities to extend their stay or apply for tenure tracks within MaCSBio.
Post-doc salary is competitive, depending on qualifications and work experience. The salary will be set within salary scale 11 or 12 (with a possible preliminary scale) of the Collective Labour Agreement of Dutch Universities: a minimum of €3,259 and maximum of €5,070 gross per month for a full-time position.
In addition, postdocs receive a holiday bonus equal to 8% of their salary plus an 8.3% year-end allowance. Non-Dutch applicants could be eligible for favourable tax benefits (30% rule).
We offer you a stimulating scientific environment with excellent facilities for professional and personal development.
----
SYSTOPP Postdoc 1
Project: Integrative analysis of large and heterogeneous datasets using explorative, data-driven approaches
Description:
The task of the postdoc is to develop modelling and mathematical approaches to integrate data from large and heterogeneous datasets at different levels of inquiry, including high-field MR imaging, genetic, and metabolomic data. The contribution will be focused on data-mining and especially understanding and handling emergent complexity in these multi-scale datasets. The ideal candidate will have a PhD in biostatistics, computer science, mathematics, or a related field, with demonstrated expertise in machine learning/data mining, and a proven interest in the biological domain, e.g. metabolic syndrome or neurodegenerative diseases. Excellent programming skills, and experience with analysis of large datasets with genomics and phenotypic data are considered a plus. The ideal candidate is a highly creative, motivated, and ambitious researcher with good communication skills, the potential to attract research funding, and the ability to participate successfully in a multidisciplinary research team.
Contact: Bert Smeets (bert.smeets@maastrichtuniversity.nl, +31 (0)43 3881995)
----
SYSTOPP Postdoc 2
Project: Mathematical modelling of metabolic systems across time and disease states
Description:
This postdoc is expected to have a leading role in the quantitative modelling aspects of the different projects. Modelling approaches will include model selection, calibration, sensitivity analysis, and approaches for independent validation for dynamic metabolic modelling, multi-scale modelling and steady state approaches. The candidate should have a PhD in biomathematics or systems biology with ample experience in mathematical modelling, and existing productive collaborations in the systems biology community. The ideal candidate is a highly creative, motivated, and ambitious researcher with good communication skills, the potential to attract research funding, and the ability to participate successfully in a multidisciplinary research team.
Contact: Ilja Arts (ilja.arts@maastrichtuniversity.nl, +31 (0)43 3882971)
----
SYSTOPP Postdoc 3
Description:
Research activities of this postdoc aim to improve whole body data integration by linking tissue-specific multi-omics and other data with molecular profiles in blood and urine, and to develop personalized chronic disease risk profiles. The postdoc in this position will also act as an integrator between the different projects under the SYSTOPP research line. We are looking for an experienced postdoc, with a strong track-record in systems biology, having a background in both mathematics, computer science or bio-informatics, and biology or biomedical sciences, and the ability to work across different disciplines. Experience with the analysis of large datasets and multi-omics data is essential. The successful candidate has a proven ability to attract research funding. We are looking for a highly creative, motivated, and ambitious researcher with excellent communication skills, with a team orientation and willingness to take a leading role in multi-disciplinary research.
Contact: Ralf Peeters (ralf.peeters@maastrichtuniversity.nl, +31 (0)43 3883365)
Job Information
Position Type: 3 Postdoc positions
Reference (Job ID number):
Start Date: ASAP
Duration: Full Time
Status: open
Contact Information
Maastricht University
Maastricht Centre of Systems Biology (MaCSBio)
http://macsbio.maastrichtuniversity.nl/
How To Apply: Your application should be sent to recruitmentfhs@maastrichtuniversity.nl before November 10th 2014. Please include:
* A motivation letter and CV/bibliography
* At least one letter of reference
* A copy of your diploma(s) and transcripts
* Clear indication for which position (s) e.g. SYSTOPP Postdoc 1 and SYSTOPP Postdoc 2 you apply and refer to the Academic Transfer number (AT2014.171).
An (e) assessment may be part of the procedure.
Requeriments :
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]