Job ID: 5412
Job date: 2016-12-19
End Date:
Company : University of Sydney Country : Role : Research Scientist
Job date: 2016-12-19
End Date:
Company : University of Sydney Country : Role : Research Scientist
Job Description:
A PhD position is available in developing and applying computational and machine learning models for multilayered trans-omics data sets generated by state-of-the-art mass spectrometer (MS) and next generation sequencer (NGS). Our research project, funded by the Australian Research Council (ARC), aims to develop novel machine learning algorithms to analyse and integrate large-scale MS-based omics data with ultra-fast NGS-based omics data generated from complex biological systems. Characterising the signaling cascades, transcriptional networks, and translational protein networks and their cross-talks are critical for comprehensive understanding of complex biological systems. Our large-scale multilayered trans-omics data generated from state-of-the-art technological platforms provides a unique opportunity to uncover the novel biology and molecular mechanisms that are critical for treating complex diseases and personalised medicine. In this project, we aim to develop novel machine learning methods that are capable of extracting key patterns from each omic layer and integrate such information across multiple omic layers. Qualifications Essential: - Master degree in quantitative discipline (bioinformatics, computer science, statistics, mathematics, or related subjects). - Demonstrated programming skills - Effective spoken and written English communication skills (the University of Sydney has specific IELTS requirement for PhD enrolment; see below) - High level of motivation - Ability to collaborate in an interdisciplinary environment Desirable: - Prior experience in computational biology research. - Prior experience in high-performance computing and/or machine learning. - Prior experience in large-scale MS-based proteomics and/or NGS data analysis. - Prior experience in molecular and cell biology. How to Apply: Start date: The ideal start date of the project is July 1 2017 but the candidate will need to start the PhD application at the University of Sydney website (http://sydney.edu.au/study/admissions/apply/how-to-apply.html) as soon as possible, as the IELTS test, enrolment and Australian VISA application could be a lengthy process. How to apply: Before you start the University of Sydney application process, please provide the following documents for consideration: - Motivation letter - Curriculum vitae - Copy of university diplomas and transcripts - The names and contact details of 2-3 references Please send the above documents to Dr. Pengyi Yang (pengyi.yang@sydney.edu.au) with subject line "PhD job application". Contact: Pengyi Yang pengyi.yang@sydney.edu.au
Additional Info:
The project is a collaboration among the computational omics group led by Dr. Pengyi Yang with statistical bioinformatics group led by Prof. Jean Yang and Metabolic Cybernetics lab led by Prof. David James at the University of Sydney, and the candidate will be jointly supervised by Dr. Pengyi Yang, Prof. Jean Yang, and Prof. David James. Charles Perkins Centre is a leading interdisciplinary research hub located on campus in the University of Sydney. It provides extremely competitive research environment both nationally and internationally, and include access to state-of-the-art computing and mass spectrometry facilities. A generous international PhD scholarship is available for three years to support this project. This includes a stipend of $25,861 per annum to cover living expenses and a tuition of $39,100 per annum to over PhD study cost in the University of Sydney. [Click Here to Access the Original Job Post]
A PhD position is available in developing and applying computational and machine learning models for multilayered trans-omics data sets generated by state-of-the-art mass spectrometer (MS) and next generation sequencer (NGS). Our research project, funded by the Australian Research Council (ARC), aims to develop novel machine learning algorithms to analyse and integrate large-scale MS-based omics data with ultra-fast NGS-based omics data generated from complex biological systems. Characterising the signaling cascades, transcriptional networks, and translational protein networks and their cross-talks are critical for comprehensive understanding of complex biological systems. Our large-scale multilayered trans-omics data generated from state-of-the-art technological platforms provides a unique opportunity to uncover the novel biology and molecular mechanisms that are critical for treating complex diseases and personalised medicine. In this project, we aim to develop novel machine learning methods that are capable of extracting key patterns from each omic layer and integrate such information across multiple omic layers. Qualifications Essential: - Master degree in quantitative discipline (bioinformatics, computer science, statistics, mathematics, or related subjects). - Demonstrated programming skills - Effective spoken and written English communication skills (the University of Sydney has specific IELTS requirement for PhD enrolment; see below) - High level of motivation - Ability to collaborate in an interdisciplinary environment Desirable: - Prior experience in computational biology research. - Prior experience in high-performance computing and/or machine learning. - Prior experience in large-scale MS-based proteomics and/or NGS data analysis. - Prior experience in molecular and cell biology. How to Apply: Start date: The ideal start date of the project is July 1 2017 but the candidate will need to start the PhD application at the University of Sydney website (http://sydney.edu.au/study/admissions/apply/how-to-apply.html) as soon as possible, as the IELTS test, enrolment and Australian VISA application could be a lengthy process. How to apply: Before you start the University of Sydney application process, please provide the following documents for consideration: - Motivation letter - Curriculum vitae - Copy of university diplomas and transcripts - The names and contact details of 2-3 references Please send the above documents to Dr. Pengyi Yang (pengyi.yang@sydney.edu.au) with subject line "PhD job application". Contact: Pengyi Yang pengyi.yang@sydney.edu.au
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
Skills :
- Bioinformatics
- Biology
- Cell Biology
- Computational Biology
- genomic
- HPC
- Machine Learning
- Next Generation Sequencing
- Programing Skills
- Systems Biology
Areas :
Additional Info:
The project is a collaboration among the computational omics group led by Dr. Pengyi Yang with statistical bioinformatics group led by Prof. Jean Yang and Metabolic Cybernetics lab led by Prof. David James at the University of Sydney, and the candidate will be jointly supervised by Dr. Pengyi Yang, Prof. Jean Yang, and Prof. David James. Charles Perkins Centre is a leading interdisciplinary research hub located on campus in the University of Sydney. It provides extremely competitive research environment both nationally and internationally, and include access to state-of-the-art computing and mass spectrometry facilities. A generous international PhD scholarship is available for three years to support this project. This includes a stipend of $25,861 per annum to cover living expenses and a tuition of $39,100 per annum to over PhD study cost in the University of Sydney. [Click Here to Access the Original Job Post]