AI职位招聘：牛津大学招机器学习博后-University of Oxford

Posted 2021-04-27 猿人AI

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职位概览

职位名称：Postdoctoral Research Assistant in Clouds, Aerosols & Climate using Machine Learning

职位数量：1

院系：Department of Computer Science

申请截至日期：2021年2月15日

年薪：£32,817- £ 40,322 per annum

职位性质：fixed term contract duration of 36 months

学校简介

牛津大学（University of Oxford）位于英国牛津，是世界闻名的顶尖学府。其与剑桥大学并称“牛剑”，被誉位“金三角名校”和“G5超级精英大学”。

牛津大学是英语世界中最古老的大学，也是世界上现存第二古老的高等教育机构。截至2019年3月，牛津大学的校友、教授以及研究人员中，共有72位诺贝尔奖得主（世界第9）、3位菲尔兹奖得主和6位图灵奖得主。2020-2021年度，牛津大学位列2021THE世界大学排名第1，2021QS世界大学排名第5，2021U.S NEWS世界大学排名第5，2020世界大学学术排名第9。

牛津大学是英国最大的科研中心。学校在世界顶尖刊物刊发的科研学术报告超过英国任何一所大学。同时，牛津大学也是全英拥有科研专利最多的学术机构。目前，牛津地区的一千五百多家高科技企业中，多数都与学校有着深度合作。

项目介绍

This position will be part of the ERC project Constraining the effects of aerosols on precipitation (RECAP and the EU H2020 collaborative project Constrained aerosol forcing for improved climate projections (FORCeS). With partners across Europe and worldwide, these projects are at the forefront of research into clouds and aerosols and their important role for climate.

The focus of this project will be to develop novel machine-learning based constraints on clouds, aerosols, their interactions and feedbacks, combining remote-sensing and in-situ observations, high-resolution and climate modelling with modern machine learning approaches.
This project will be conducted in close collaboration with machine learning experts in the Oxford Department of Computer Science, specifically with Prof. Yarin Gal’s Applied and Theoretical Machine Learning Group (https://oatml.cs.ox.ac.uk).

The successful candidate will work closely with national and international collaborators and are expected to develop innovative scientific approaches.  The role will involve:

• Developing of novel machine-learning based constraints on clouds, aerosols, their interactions and feedbacks, combining remote-sensing and in-situ observations, high-resolution and climate modelling with modern machine learning approaches

• Developing  innovative research and analysis strategies

• Carrying out collaborative projects with colleagues in partner institutions, and research groups

• Managing own academic research and administrative activities.

• Presenting results at national and international meetings

• Publishing  results in high-impact peer-reviewed journals

• Contributing ideas for new research directions, and to the intellectual life of our dynamic research group, including meetings and collaborations

• Acting as a source of information and advice to other members of the group

项目要求

Applicants should hold a doctorate/PhD (or be close to completion) in atmospheric/climate physics, machine learning or related fields, and have a strong background in either atmospheric physics or machine learning (with a demonstrable interest or experience in the other field).

Candidates are expected to demonstrate :

• Drive and ability to perform novel research of international standing

• The ability to work collaboratively, yet independently, as part of a team

• Strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages

具体要求请点击以下链接：

https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=149085

申请方式

网申链接：

https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=149085

Please direct enquiries about the role to Professor Philip Stier [e-mail] 

Only applications received before midday (UK time) 15 February 2021 can be considered. You will be required to upload a supporting statement, CV and details of two referees as part of your online application.

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