澳大利亚悉尼科技大学2019年博士后招聘（农业技术方向）

招聘简介：

在悉尼科技大学，公平和社会公正的概念是我们的核心和目标的关键 - 我们被广泛认为是支持包容性和重视多样性。自奖项成立以来，我们被选为WGEA的选择雇主，我们现在是第一批获得Athena SWAN铜奖的澳大利亚机构，因为我们致力于解决STEMM学科中的性别平等问题。 UTSEqual Futures在其职业生涯的每个阶段庆祝和支持学术界的女性。

悉尼科技大学在产量和气候预测，遥感和整体农场管理方面拥有世界知名的研究人员。我们与物联网（IoT）农业技术公司The Yield合作。 Yield旨在成为食品行业智能解决方案的全球领导者。它在澳大利亚开发物联网，云计算和人工智能解决方案。他们拥有一支高度集中的团队，汇集了世界领先的农业学家，科学家和技术专家。

悉尼科技大学和The Yield正在寻找一位博士后科学家，他热衷于解决现实世界的问题，并通过高级分析提供农业见解。该职位是由食品敏捷性合作研究中心资助的一项合作的一部分，旨在使用尖端的物联网，云计算和人工智能技术预测农业成果。

英文原文：

At UTS, the concepts of equity and social justice are key to our core and purpose – we are recognised widely as supporting inclusivity and valuing diversity. Cited as aWGEA Employer of Choice since the inception of the award, we are now among the first Australian institutions to receive the Athena SWAN Bronze Accreditation for our commitment to action addressing gender equity in the STEMM disciplines. UTSEqual Futures celebrates and supports women in academia through every stage of their career.

UTS has world-renowned researchers in yield and climate forecasting, remote sensing, and holistic farm management. We are partnering with The Yield, an Internet of Things (IoT) agriculture technology company. The Yield aims to be a global leader in intelligent solutions in the food industry. It develops IoT, cloud computing, and artificial intelligence solutions in Australia. They have a highly-focused team that brings together world-leading agriculturists, scientists and technologists.

UTS and The Yield are looking for a postdoctoral scientist who is passionate about solving real world problems and providing agricultural insights through advanced analytics. The position is part of a collaboration funded by the Food Agility Cooperative Research Centre with the aim of predicting agricultural outcomes using cutting-edge IoT, cloud computing, and artificial intelligence technologies.

About the role

Working collaboratively with our industry partner you will work with data sets ranging from multiyear climate data, observation data collected by on-farm sensors, grower inputs, and agricultural models. You will work within a multi-disciplinary team to create previously unknown insights, model and codify inherent knowledge, and provide local on farm predictions using cutting edge methods and techniques.

This is an opportunity for a researcher with an academic background to gain industry experience by being embedded within UTS’s Environmental Science discipline and The Yield’s data science and engineering teams.

About you

You have a sound understanding of machine learning and AI and coding prowess in a range of languages. A strong communicator and problem solver, you have empathy for end-users and a creative ability to apply data and data relationships across multiple sources and domains to help solve real problems for growers and food producers.

To be successful in securing the role, you will also have:

o A PhD with a strong quantitative focus

o A track record of developing models using machine learning or AI to achieve outcomes in areas such as environmental, climatic, geospatial, marine or agriculture modelling

o Solid working knowledge of querying and manipulating datasets with exposure to at least one industrial strength database

o Experience in manipulating, handling and extracting data from large structured and unstructured data sets including one or more of the following: time series data, predictive atmospheric models, weather or climate data, satellite imagery, and geospatial data

o Capacity to identify new opportunities and build collaborative relationships within UTS and The Yield as well as externally.

For the full list of the selection criteria and role responsibilities please download the Position statement from our website.

Remuneration & Benefits

Base Salary Range: $87,816 – $94,263 pa (Academic Level A) or $102,952 to $121,849 pa (Academic Level B)

This role attracts 17% superannuation (pension) in addition to the base salary.

UTS staff also benefit from a wide range of Employee Benefits include flexible work practices, child care centres, generous parental leave and salary packaging opportunities.

This position isfull timeand appointment will be made on a fixed termbasis for 2 years.

How to Apply

Please visit our website to apply directly to this role.

You are required to address the selection criteria in your submission, in a separate document.

Only those applications submitted via the UTS online recruitment system will be accepted. Current UTS employees should apply through their UTS Employee Self Service function.

As you will be unable to save your application once started, please have all required documents and information available prior to commencing.

Please ensure that the file name for each document submitted includes IRC130914.

Specific enquiries or issues with your application may be directed to the UTSRecruitment Team at recruitment@uts.edu.au or on +61 (0) 2 9514 1080.

Closing Date: Wednesday 15th of May 11:59pm (AEST) 2019

At UTS, the concepts of equity and social justice are key to our core and purpose – we are recognised widely as supporting inclusivity and valuing diversity through our Wingara Indigenous Employment Strategy, Social Impact Framework and UTS Access and Inclusion Plan.