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.
PhD candidates 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.
We offer:
All positions are offered for a duration of four years.
PhD candidate salary is set between €2,083 for the first year and €2,664 for the last year gross per month for a full-time position. A PhD appointment lasts four years (first year + three years after receiving a positive evaluation).
In addition, PhD candidates 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 PhD candidate 1
Project: Modelling of multi-omics and environmental data in the context of genome scale metabolic models (GSMMs)
Description:
The research of the PhD candidate will consist of selection, generation and evaluation of disease-specific models based on the genome scale metabolic models (GSMMs) available from Recon 2. These disease-specific models will be computationally evaluated for conditions that occur in healthy and diseased individuals. The models and model results will be converted such that they allow integration of available metabolomics data and data describing metabolic activity and regulation thereof (from e.g. proteomics and transcriptomics). We are looking for a highly motivated PhD-candidate with an MSc degree in computational or mathematical biology, systems biology or other related fields of study, with a strong interest in and a working knowledge of human biology/metabolism.
Contact: Ilja Arts (ilja.arts@maastrichtuniversity.nl, +31 (0)43 3882971)
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SYSTOPP PhD candidate 2
Project: Integration of multi-level biological data using knowledge-based pathway and network analysis approaches
Description:
The PhD candidate will search, select, curate and extend biological pathways related to obesity, metabolism, and obesity-related diseases and will collect these on WikiPathways. These pathways will then be used to improve understanding through data modelling, statistical (gene)set analysis and data visualization of multi-omics datasets classified using phenotypic descriptors. The pathways will be used as the basis for network biology evaluations and network extensions. Resulting (sub)networks will be reused with different data from the project and proposed for experimental verification and for use as biomarkers. We are looking for a highly motivated PhD candidate with an MSc degree in bioinformatics, network biology, systems biology or other related fields of study, with a strong interest in and a working knowledge of human biology and gene expression regulation.
Contact: Chris Evelo (chris.evelo@maastrichtuniversity.nl, +31 (0)43 3881231)
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SYSTOPP PhD candidate 3
Project: Dynamic modelling of multiple steady states
Description:
The PhD candidate will be studying the development of chronic diseases as a long-term process, using multi-omics data that reflect different steady-state stages of the disease process. The major task of the PhD candidate is the modelling of time-varying outcomes in disease development and predicting changes in disease state over a long-term time scale. We are looking for a highly creative, motivated, and ambitious researcher with good communication skills, and the ability to participate successfully in the work of a multidisciplinary research team. The PhD-candidate preferably has an MSc degree in one of the following disciplines: computer science, mathematics, biostatistics, or bioinformatics. Skills in computer programming and a proven interest in biology/physiology are required. Familiarity with modelling of dynamic processes is considered a plus.
Contact: Theo de Kok (t.dekok@maastrichtuniversity.nl, +31 (0)43 3881091)
Job Information
Position Type: 3 PhD positions
Reference (Job ID number): http://macsbio.maast
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 PhD 1 and SYSTOPP PhD2 you apply and refer to the Academic Transfer number (AT2014.173).
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.
PhD candidates 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.
We offer:
All positions are offered for a duration of four years.
PhD candidate salary is set between €2,083 for the first year and €2,664 for the last year gross per month for a full-time position. A PhD appointment lasts four years (first year + three years after receiving a positive evaluation).
In addition, PhD candidates 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 PhD candidate 1
Project: Modelling of multi-omics and environmental data in the context of genome scale metabolic models (GSMMs)
Description:
The research of the PhD candidate will consist of selection, generation and evaluation of disease-specific models based on the genome scale metabolic models (GSMMs) available from Recon 2. These disease-specific models will be computationally evaluated for conditions that occur in healthy and diseased individuals. The models and model results will be converted such that they allow integration of available metabolomics data and data describing metabolic activity and regulation thereof (from e.g. proteomics and transcriptomics). We are looking for a highly motivated PhD-candidate with an MSc degree in computational or mathematical biology, systems biology or other related fields of study, with a strong interest in and a working knowledge of human biology/metabolism.
Contact: Ilja Arts (ilja.arts@maastrichtuniversity.nl, +31 (0)43 3882971)
----
SYSTOPP PhD candidate 2
Project: Integration of multi-level biological data using knowledge-based pathway and network analysis approaches
Description:
The PhD candidate will search, select, curate and extend biological pathways related to obesity, metabolism, and obesity-related diseases and will collect these on WikiPathways. These pathways will then be used to improve understanding through data modelling, statistical (gene)set analysis and data visualization of multi-omics datasets classified using phenotypic descriptors. The pathways will be used as the basis for network biology evaluations and network extensions. Resulting (sub)networks will be reused with different data from the project and proposed for experimental verification and for use as biomarkers. We are looking for a highly motivated PhD candidate with an MSc degree in bioinformatics, network biology, systems biology or other related fields of study, with a strong interest in and a working knowledge of human biology and gene expression regulation.
Contact: Chris Evelo (chris.evelo@maastrichtuniversity.nl, +31 (0)43 3881231)
----
SYSTOPP PhD candidate 3
Project: Dynamic modelling of multiple steady states
Description:
The PhD candidate will be studying the development of chronic diseases as a long-term process, using multi-omics data that reflect different steady-state stages of the disease process. The major task of the PhD candidate is the modelling of time-varying outcomes in disease development and predicting changes in disease state over a long-term time scale. We are looking for a highly creative, motivated, and ambitious researcher with good communication skills, and the ability to participate successfully in the work of a multidisciplinary research team. The PhD-candidate preferably has an MSc degree in one of the following disciplines: computer science, mathematics, biostatistics, or bioinformatics. Skills in computer programming and a proven interest in biology/physiology are required. Familiarity with modelling of dynamic processes is considered a plus.
Contact: Theo de Kok (t.dekok@maastrichtuniversity.nl, +31 (0)43 3881091)
Job Information
Position Type: 3 PhD positions
Reference (Job ID number): http://macsbio.maast
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 PhD 1 and SYSTOPP PhD2 you apply and refer to the Academic Transfer number (AT2014.173).
An (e) assessment may be part of the procedure.
Requeriments :
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]