招聘簡(jiǎn)介：

　　·聯(lián)邦科學(xué)與工業(yè)研究組織（CSIRO）

　　·地點(diǎn)：澳大利亞昆士蘭州普蘭維爾

　　·申請(qǐng)截止日期：2019年6月19日

　　職位描述

　　•在進(jìn)化算法、機(jī)器人和材料科學(xué)的交叉點(diǎn)進(jìn)行研究

　　•與世界一流的研究人員合作，解決世界上最大的挑戰(zhàn)

　　加入CSIro的DATA61，澳大利亞最大的科學(xué)機(jī)構(gòu)數(shù)字創(chuàng)新機(jī)構(gòu)，CSIro

　　位置

　　CSIro早期研究職業(yè)（CERP）博士后獎(jiǎng)學(xué)金為科學(xué)家和工程師提供了機(jī)會(huì)，他們已經(jīng)完成博士學(xué)位，并有不到三年的博士后工作經(jīng)驗(yàn)。

　　CARC博士后多層次進(jìn)化機(jī)器人研究將在進(jìn)化算法、機(jī)器人學(xué)和材料科學(xué)的交叉領(lǐng)域進(jìn)行研究。研究員將使用最先進(jìn)的算法來(lái)搜索有用的材料，將它們部署到組件中，然后創(chuàng)建專門針對(duì)其任務(wù)和操作環(huán)境的整個(gè)機(jī)器人。這可能涉及使用各種計(jì)算設(shè)計(jì)方法（從進(jìn)化算法和機(jī)器學(xué)習(xí)到形狀/尺寸/拓?fù)鋬?yōu)化），創(chuàng)建模型和修改模擬器以捕獲材料、組件和全機(jī)器人之間的相互作用。

　　該研究員將得到我們的3D打印機(jī)的實(shí)際生產(chǎn)和測(cè)試機(jī)器人。該研究員還將有機(jī)會(huì)參與AIM未來(lái)科學(xué)平臺(tái)，一個(gè)將材料科學(xué)、機(jī)器學(xué)習(xí)和機(jī)器人技術(shù)相結(jié)合的跨學(xué)科研究項(xiàng)目，為目前尚未解決的問(wèn)題生成創(chuàng)新的解決方案。該項(xiàng)目為我們?cè)谟《葒?guó)立研究院的國(guó)際合作者以及莫納什大學(xué)的國(guó)內(nèi)合作者提供了機(jī)會(huì)。該研究員將由一個(gè)具有材料發(fā)現(xiàn)機(jī)器學(xué)習(xí)、基于多樣性的進(jìn)化算法和進(jìn)化機(jī)器人專業(yè)知識(shí)的國(guó)際監(jiān)督團(tuán)隊(duì)指導(dǎo)。

　　英文原文：

　　·         Commonwealth Scientific & Industrial Research Organisation (CSIRO)

　　·         Location: Pullenvale, QLD, Australia

　　·         Application Deadline: Jun 19, 2019

　　Job Description

　　• Undertake Research at the Intersection of Evolutionary Algorithms, Robotics, and Materials Science

　　• Work with World Class Researchers to Solve the World’s Biggest Challenges

　　• Join CSIRO’s Data61, the Digital Innovation Arm of Australia’s Largest Science Agency, the CSIRO

　　The Position

　　CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years relevant postdoctoral work experience.

　　The CERC Postdoctoral Fellowship in Multi-Level Evolutionary Robotics will undertake research at the intersection of evolutionary algorithms, robotics, and materials science. The Fellow will use state of the art algorithms to search for useful materials, deploy them into components, and subsequently create whole robots that are specialised to both their task and operating environment. This may involve the use of various computational design approaches (from evolutionary algorithms and machine learning to shape/size/topology optimisation), creating models and modifying simulators to capture interactions between the materials, components, and full robots.

　　The Fellow will be expected to get hands-on with our 3D printers for real-world generation and testing of the robots. The Fellow will also have the opportunity to engage with the AIM Future Science Platform, a cross-disciplinary research program combining materials science, machine learning, and robotics to generate innovative solutions for currently unsolved problems. This project provides opportunities to undertake placements at our international collaborators at INRIA, as well as domestically at Monash University. The Fellow will be guided by an international supervisory team with expertise in machine learning for materials discovery, diversity-based evolutionary algorithms, and evolutionary robotics.

　　Your duties will include:

　　• Developing multi-level algorithms by combining state of the art techniques across materials search, component search, and robot optimisation

　　• Demonstrating the algorithm by physically creating task/environmentally-specialised robots

　　• Carrying out innovative, impactful research of strategic importance to CSIRO that will, where possible, lead to novel and important scientific outcomes

　　• Producing and presenting high-quality manuscripts for publication in top-ranked journals and client reports, presentation at international conferences, and supporting patent applications

　　• Recognising and exploiting opportunities for innovation and the generation of new theoretical paradigms, and progressing opportunities for the further development or creation of new lines of research

　　• Participating in effective functioning of the research team and helping deliver CSIRO’s organisational objectives and plans

　　• Proactively undertaking development to grow effective researcher capabilities to support career goals

　　Location: Pullenvale, QLD

　　Salary: AU$83K - AU$94K plus up to 15.4% superannuation

　　Tenure: Specified Term of 3 years

　　Reference: 61505

　　To be successful you will need:

　　• A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Computer Science, Evolutionary Computing, Robotics, Mechatronic Engineering, Computational Chemistry, or Materials Science

　　Please note: To be eligible for this role you must have no more than 3 years (or part time equivalent) of postdoctoral research experience.

　　• A record of science innovation and creativity, including the ability & willingness to incorporate novel ideas and approaches into scientific investigations

　　• High level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences

　　• A sound history of publication in peer reviewed journals and/or authorship of scientific papers, reports, grant applications or patents.

　　For details about who to contact and for more information please view the Position Description

　　CSIRO’s Commitment to Diversity

　　We’re working hard to recruit diverse people and ensure all our people feel supported to do their best work and empowered to let their ideas flourish.

　　Flexible Working Arrangements

　　We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you. Balance

　　About CSIRO

　　At CSIRO you can be part of helping to solve big, complex problems that make a real difference to our future. We spark off each other, learn from each other, trust each other and collaborate to achieve more than we could individually in a supportive, rewarding, inclusive and truly flexible environment.

　　Apply Online

　　To apply online, please provide a CV and letter outlining your suitability and motivation for the role.

　　Applications Close

　　23:00 AEST 19th June 2019

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