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[Dear colleagues, i would be grateful if you can disseminate this advert through your channels] ---------------------------------------------------------------------- * 1 3-year PhD studentship in Machine Learning for Synthetic Biology * Location: School of Computing, Newcastle University, UK * Start date: Academic year 2018/2019 * Deadline for application: 18th of July, 2018. ---------------------------------------------------------------------- * Value of award 100% of UK tuition fees paid and an annual stipend of £14,777 (full award). * Description This PhD studentship is part of the Portabolomics project. The vision of Portabolomics is to bring forth a breakthrough in Synthetic Biology that will enable the development of portable biocircuits across chassis (i.e. from one bacteria species to another). This vision is akin to the Java virtual machine having enabled the reuse and portability of software across different operating systems and hardware platforms. In this doctoral project you will focus on the challenge of devising innovative strategies to transform the vast volumes of data generated in the wet lab experiments of Portabolomics into actionable knowledge that can feed into the computational work on network analysis and verification in the project. The data generated by the project is vast and diverse: imaging data, omics data, complex and heterogeneous annotation from public and private sources. Using a combination of biological data integration, state-of-the-art machine learning, knowledge extraction and information visualisation techniques we seek to build methods to identify biomarkers and infer biological networks. The specific topic of the studentship will be decided based on the skill set of the successful applicant, although we envision that it will require a combination of the following: - Strong machine learning background and proficiency in the state of the art data science languages (e.g. R, python) - Deep Learning - Knowledge discovery - Biological data integration - Information visualisation - High Performance Computing (e.g. classic HPC clusters, GPUs, Intel PHI, Big Data frameworks, Cloud resources). * Eligibility Criteria: Applicants should have a first class degree, or a combination of qualifications and/or experience equivalent to that level. Ideally, students should have a BSc or MSc degree in computer science. Applicants should be strong programmers, and experience in machine learning/data mining/big data/information visualisation/biological data will be greatly valued. Full fees will only be awarded following EPSRC eligibility rules (https://epsrc.ukri.org/skills/students/help/eligibility/). * How to apply You must apply through http://www.ncl.ac.uk/postgraduate/apply/ To do this please ‘Create a new account’ (https://www.ncl.ac.uk/postgraduate/apply/?utm_source=referral-jobs&utm_medium=advert&utm_content=comp007-apply&utm_campaign=PG3PL-jobs-ac-uk-advert). Only mandatory fields need to be completed. However, you will need to include the following information: - Insert the programme code 8050F in the programme of study section - Select PhD Computer Science (full time) - (Computing Science)', as the programme of study - Insert the studentship code COMP007 - Attach covering letter, CV and (if English is not your first language) a copy of English language qualifications. The covering letter must state title of studentship, quote reference *COMP007* and describe how your research interests fit with the topic of research project outlined in the advertisement (maximum of two pages). please send your covering letter and CV by e-mail to [log in to unmask] * Contact For informal enquiries, please email [log in to unmask] -- ------------------------------------------------------------------- Jaume Bacardit, PhD Reader in Machine Learning Newcastle University The Interdisciplinary Computing and Complex BioSystems research group. Web: http://www.ico2s.org/ Twitter: @ico2s School of Computing, Newcastle University. 1 Science Square, Science Central, Newcastle upon Tyne, NE4 5TG, UK Email: jaume _dot_ bacardit _at_ newcastle.ac.uk _dot_ ac _dot_ uk Web: http://homepages.cs.ncl.ac.uk/jaume.bacardit Twitter: @jaumebp -------------------------------------------------------------------- ######################################################################## To unsubscribe from the META-HEURISTICS list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=META-HEURISTICS&A=1