In the plane to Warwick on Monday, I was reading my latest issue of Nature and found an interesting editorial on the financial plight of many graduates and post-docs in both the US and the UK (and certainly elsewhere). Who, despite having a fellowship, cannot make ends meet. This is particularly true in expensive cities like London, Oxford or even Paris, where rents force those new researchers to face long commuting hours. The editorial suggests taking extra-jobs to make up for financial difficulties, but this does not sound to me like a particularly pertinent recommendation if it means taking time off one’s research, at the period in a researcher’s career where one’s energy should be mostly directed at the production of papers towards securing a (more) permanent job. Even teaching can prove too time consuming for finishing PhD students. An adequation between the needs of those young researchers and the institutional support they receive would sound like a natural requirement, while graduates looking for fellowship should truly assess the adequation in detail before accepting an offer.Which of course is not always easy. In countries where post-doctoral contracts are not negotiable and are set at a national level (like, e.g., France), checking with earlier fellows is a must. (As it happens or happened, I was quite lucky to spend my post-doctoral years in cheap places with decent support from the local universities, but this is not relevant in today’s environment!)
Archive for postdoctoral position
Another postdoctoral offer:
[David Dowe sent me the following ad for a position of research fellow in statistics, machine learning, and Astrophysics at Monash University, Melbourne.]
RESEARCH FELLOW: in Statistics and Machine Learning for Astrophysics, Monash University, Australia, deadline 31 July.
We seek to fill a 2.5 year post-doctoral fellowship dedicated to extensions and applications of the Bayesian Minimum Message Length (MML) technique to the analysis of spectroscopic data from recent large astronomical surveys, such as GALAH (GALactic Archaeology with HERMES). The position is based jointly within the Monash Centre for Astrophysics (MoCA, in the School of Physics and Astronomy) and the Faculty of Information Technology (FIT).
The successful applicant will develop and extend the MML method as needed, applying it to spectroscopic data from the GALAH project, with an aim to understanding nucleosynthesis in stars as well as the formation and evolution of our Galaxy (“galactic archaeology”). The position is based at the Clayton campus (in suburban Melbourne, Australia) of Monash University, which hosts approximately 56,000 equivalent full-time students spread across its Australian and off-shore campuses, and approximately 3500 academic staff.The successful applicant will work with world experts in both the Bayesian information-theoretic MML method as well as nuclear astrophysics. The immediate supervisors will be Professor John Lattanzio (MoCA), Associate Professor David Dowe (FIT) and Dr Aldeida Aleti (FIT).
[An opportunity to work with Richard Everitt in Reading, UK, in a postdoc position starting this summer]
It is now possible to retrieve the complete DNA sequence of a bacterial strain relatively quickly and cheaply, and population genetics has been revolutionised in the past ten years through the availability of these data. To gain a deep understanding of sequence data, model-based statistical techniques are required. However, current approaches for performing inference in these models do not scale to whole genome sequence data. The BBSRC project “Understanding recombination through tractable statistical analysis of whole genome sequences” aims to address this issue. A position as Post-Doctoral Research Assistant is available on this project, supervised by Dr Richard Everitt in the Statistics group at the Department of Mathematics & Statistics at the University of Reading.
The deadline for applications is March 31, 2016 (details).
Just a reminder about the incoming deadline of January 31 for the CANSSI/INCASS postdoctoral grants. Those are restricted to members of CANSSI member institutions, though:
For the 2016-2017 year, up to two CANSSI Postdoctoral Fellowships will be awarded to suitable statistical sciences candidates working in CANSSI member institutions. Candidates should have received their PhD after March 31, 2013, and must have fulfilled all PhD requirements by the time of taking up the award.
Post-doctoral Position in Spatial/Computational Statistics (Grenoble, France)
A post-doctoral position is available in Grenoble, France, to work on computational methods for spatial point process models. The candidate will work with Simon Barthelmé (GIPSA-lab, CNRS) and Jean-François Coeurjolly (Univ. Grenoble Alpes, Laboratory Jean Kuntzmann) on extending point process methodology to deal with large datasets involving multiple sources of variation. We will focus on eye movement data, a new and exciting application area for spatial statistics. The work will take place in the context of an interdisciplinary project on eye movement modelling involving psychologists, statisticians and applied mathematicians from three different institutes in Grenoble.
The ideal candidate has a background in spatial or computational statistics or machine learning. Knowledge of R (and in particular the package spatstat) and previous experience with point process models is a definite plus.
The duration of the contract is 12+6 months, starting 01.10.2015 at the earliest. Salary is according to standard CNRS scale (roughly EUR 2k/month).