Archive for postdoctoral position

AstroDeep in Paris [postdoc position]

Posted in Kids, Statistics, Travel, University life with tags , , , , , , on November 13, 2021 by xi'an

Here is a call for candidates to a postdoc on Bayesian machine learning methods for measuring weak gravitational lensing.  In downtown Paris. There is no application deadline, which means the earlier the application the better!

The candidate should hold a PhD in mathematics, computer science, physics/astrophysics or engineering. Candidates with either a scientific or technical background are welcome to apply. Prior experience in machine learning and Bayesian statistics would be an asset. Our group is committed to diversity and equality, and encourage applications from women and underrepresented minorities. We support a flexible and family-friendly work environment. The position includes an internationally competitive salary and generous travel budget. French language skills are not required. Applicants should send a CV and research statement, and arrange for three reference letters to be sent to the contact email address jobs@astrodeep.net

postdoc on COVID-19 modelling in Lugano

Posted in pictures, Statistics, Travel, University life with tags , , , , , , on July 24, 2021 by xi'an

A new call for postdoctoral applications from my friend Anto: a postdoctoral position is opening this Fall at the Università della Svizzera italiana (USI) in Lugano, Switzerland, under her direction, for conducting interdisciplinary approach to modelling the consequences of the COVID-19 pandemic and responses to it on other outcomes, such as mortality.

PRIMA grants in Lugano

Posted in Mountains, pictures, Travel, University life with tags , , , , on June 8, 2021 by xi'an

Forwarding a call from my friend Antonietta Mira for young female scientists to join her at USI, Lugano, Svizzera, for projects in Data Science, funded by a PRIMA PhD grant. Deadline is 1 September 2021.

Prima grants are aimed at young female researchers who wish to conduct, manage and lead an independent project at a Swiss higher education institution. It awards five-years grants to female researchers who fulfill the following criteria:

  • They match the SNSF requirements for Prima concerning academic age (mobility is not needed):  At least 2 years of research experience after the doctorate; Maximum 10 years from the doctorate.

  • They have an excellent academic track record, especially in terms of publications, and firm ambitions to pursue an academic career.

  • They demonstrate interest in scientific domains represented at USI.

launch of ELLIS

Posted in Statistics, University life with tags , , , , , , , , , on September 15, 2020 by xi'an

The European Laboratory for Learning and Intelligent Systems (ELLIS) is a network (inspired by the Canadian LMB CIFAR network ) that has been recently created to keep European research in artificial intelligence and machine learning at the forefront, to keep up with North America and China where the AI investments are far superior. It has currently 30 units and will be officially launched this Tuesday, 15 September with live streaming. (I am part of the Paris Ellis Unit, directed by Gabiel Peyré.) It also organizes PhD and postdoc exchange programs.

research position at Monash

Posted in Statistics, Travel, University life with tags , , , , , , , on March 23, 2020 by xi'an

0d6a2355-30b9-43c0-97b5-0aacf0bb7060

My friends (and coauthors) Gael Martin and David Frazier forwarded me this call for a two-year research research fellow position at Monash. Working with the team there on the most exciting topic of approximate Bayes!

The Research Fellow will conduct research associated with ARC Discovery Grant DP200101414: “Loss-Based Bayesian Prediction”. This project proposes a new paradigm for prediction. Using state-of-the-art computational methods, the project aims to produce accurate, fit for purpose predictions which, by design, reduce the loss incurred when the prediction is inaccurate. Theoretical validation of the new predictive method is an expected outcome, as is extensive application of the method to diverse empirical problems, including those based on high-dimensional and hierarchical data sets. The project will exploit recent advances in Bayesian computation, including approximate Bayesian computation and variational inference, to produce predictive distributions that are expressly designed to yield accurate predictions in a given loss measure. The Research Fellow would be expected to engage in all aspects of the research and would therefore build expertise in the methodological, theoretical and empirical aspects of this new predictive approach.

Deadline is 13 May 2020. This is definitely an offer to consider!

%d bloggers like this: