Fwd: Fully-funded PhD studentship at Massey University, NZ
Dr. (Mrs.) A.N. Wijayanayake - University of Kelaniya
From: Prof. S.R.D. Kalingamudali - University of Kelaniya <kal...@kln.ac.lk>
Date: 31 March 2017 at 08:35
Subject: Fwd: Fully-funded PhD studentship at Massey University, NZ
To: Department of Industrial Management <ims...@kln.ac.lk>, Department of Statistics and Computer Science <stcs...@kln.ac.lk>
--
Bye for now.
Best regards
Kalinga
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Professor
Sudath R D Kalingamudali
BSc (Kelaniya), PhD (Sheffield), CSci, CEng,
CPhys, FIET, FInstP, FIP(SL), MIEEE
Senior Professor
Director (Research Services Centre/Faculty of Science)
Chairman (Sports Advisory Board)
Office Address Home
Address
Department of Physics "Padmika"
University of Kelaniya Mawaramandiya
Kelaniya 11600 Siyambalape
11607
Sri Lanka Sri
Lanka
Telephone: Telephone:
+94(0)11 2911391, 2911495 +94(0)11
2976600, 2976104
Mobile: +94(0)71
2510646
Facsimile: 94(0)11
2903369, 2911485
e-mail: kal...@kln.ac.lk kal...@iee.org
http://www.kln.ac.lk/science/physics/staff/kalinga.html
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From: Vignes, Matthieu <M.Vi...@massey.ac.nz>
Date: 27 March 2017 at 15:56
Subject: Fully-funded PhD studentship at Massey University, NZ
Deal all,
We have a scholarship for an enthusiastic and motivated individual who is interested in conducting a PhD research project in the areas of computational statistics and/or bioinformatics. Typical keywords to describe our research include, but are not limited to: network inference/analysis, causality, simulation strategies, genetic/genomic data, evolution, high-dimensional methods, probabilistic graphical models. Examples of recent projects conducted here are "Study of gene expression patterns in an allopolyploid species: a network approach", "Inferring causality in complex systems from observations" or "analysis of phenotype:genotype relationships in bacteria using machine learning". Our approach is clearly interdisciplinary.
Background:
The Statistics and Bioinformatics group at Massey is among the largest of its kind in New Zealand. It is part of the Institute of Fundamental Sciences (IFS) which gathers scientists from varied fields working on cutting edge problems within and across their disciplines. Strong links with other Institutes within Massey University and beyond are already established. Biological/agricultural research is one the strengths of Massey University, and this is a real opportunity to develop sound and original quantitative methodologies. There is a large, diverse and active community of PhD students and postdoctoral researchers at Massey. Excellent library, computing (locally or at the nationwide scale, e.g. NeSi, https://www.nesi.org.nz/) and other research support facilities, sustained programmes of research seminars and workshops are available to the successful candidate. It is against this backdrop that the successful candidate will be afforded agreed upon objectives and the motivation to develop original research with a balance of methodological developments in a quantitative subject and meaningful applications. The planned supervisory team currently consists of A/Prof Patrick Biggs, who has a prominent role in research in Bioinformatics at Massey and Dr Matthieu Vignes, who is a specialist in modern statistical computation strategies for biologically inspired problems. Depending on the interests of the student, and the agreed project, other faculty members may join the supervisory committee.
Candidate and conditions:
The anticipated admission standard for this PhD position is a 1st class or high upper 2nd class Honours degree, or a Master’s degree with merit or distinction, in Mathematics, Statistics, Computer Science, or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable. In addition, the candidate will have a marked taste for interdisciplinary research, the ability to work as a team member and to organise their own tasks. Proficiency with at least one scientific language/software (R, Python, C/C++...) is highly desirable.
The studentship will be three years in duration and covers tuition fees plus a tax-free stipend of NZ $25,000 per annum. In addition, some reasonable funds are available to students e.g. for travel to international conferences, or small equipment. There would be the possibility to gain some experience in teaching if desired. The location of the PhD is at the Manawatu campus of Massey University, in Palmerston North, a small, very affordable yet lively, enjoyable and culturally diverse city in the North Island of New Zealand.
The deadline for the application is 30/04/2017. Applications will be considered on a rolling basis until the studentship is filled. Apply as soon as possible to avoid disappointment! The ideal enrollment date is Sept 2017.
For further information and informal discussions of potential projects please contact us (p.b...@massey.ac.nz and/or m.vi...@massey.ac.nz).--
Annista N.Wijayanayake, Ph.D.,
Senior Lecturer,
Department of Industrial Management,
Faculty of Science,
University of Kelaniya,
Kelaniya
Sri Lanka.
Tel: +94-(0)11-2914482/2903282 Ext. 206
E-mail: an...@kln.ac.lk
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