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目錄?Catalogue

1.?瑞士洛桑聯(lián)邦理工大學招收聯(lián)培全獎博士生

2.?新加坡國立大學招全獎博士生

3.?瑞士蘇黎世聯(lián)邦理工學院招收全獎博士生

4.?荷蘭鹿特丹大學招收全獎博士生

01

瑞士洛桑聯(lián)邦理工大學招收聯(lián)培全獎博士生

職位信息

瑞士洛桑聯(lián)邦理工大學（EPFL）和保羅謝爾研究所（PSI）聯(lián)合招收1名全獎博士研究生，學制四年，預計2023年1月入學。

招聘簡介

歐洲頂尖研究機構(gòu)，瑞士四大聯(lián)邦院所，EPFL和PSI同屬于ETH Domain，是瑞士頂級學術(shù)科研平臺?？勺孕邪俣取?/p>

研究方向：

過渡金屬摻雜的硅酸鈣水合物（如水泥中C-S-H和各類金屬硅酸鹽）的形成過程的動力學、熱力學、分子模擬和原位同步輻射譜學研究

博士職位描述：

4年制，最理想2023年初入學，全獎博士，薪酬待遇優(yōu)厚（四年工資不低于210k瑞士法郎），EPFL學位，課題研究在PSI，與瑞士四大聯(lián)邦院所：EPFL，Empa，University of Bern，ETH Zürich有緊密合作，世界大佬級合作者眾多。

職位要求

碩士學位；本科或碩士為化學，材料學，水泥化學，環(huán)境科學，同步輻射譜學等相關(guān)背景；有一定發(fā)文章基礎(chǔ)；英語流利（無具體成績和等級要求，但需得到面試時導師的認可）；積極向上；善于溝通合作。

聯(lián)系方式

歡迎有意者發(fā)送簡歷聯(lián)系馬老師（PSI終身制研究員，該項目PI，該博士生導師）。郵箱：bin.ma@psi.ch

02

新加坡國立大學招全獎博士生

職位信息

截止日期：2022年12月

新加坡國立大學（NUS）土木與環(huán)境工程系Iris Yu教授課題組現(xiàn)有博士職位可申請，生物質(zhì)轉(zhuǎn)化和增值利用方向，2022年12月前申請。

招聘簡介

新加坡國立大學土木與環(huán)境工程系生物質(zhì)轉(zhuǎn)化和增值利用方向誠招博士生1-2名。

研究方向：

Conversion of biomass resources, including food waste, into value-added products using green, low-carbon approaches

導師簡介：

Iris Yu將為新加坡國立大學土木與環(huán)境工程系助理教授，h-index達37，洪堡學者（合作導師為慕尼黑工業(yè)大學Johannes Lercher教授）。

招生要求

（1） 熟悉化工、綠色化學、材料科學等，有與生物質(zhì)相關(guān)的工作經(jīng)驗；（2） 具有優(yōu)秀的學歷背景，基礎(chǔ)扎實，動手能力強；（3） 具有良好的科研思維與解決實際問題的能力，適應快節(jié)奏的工作。（4） 滿足NUS的博士入學要求 [包括Graduate Record Examination (GRE)?和TOEFL或IELTS考核]，詳見鏈接:

https://cde.nus.edu.sg/graduate/graduate-programmes-by-research/admission-requirement-2/GRE報名和考核詳情：https://www.ets.org/gre

聯(lián)系方式

歡迎有意者將簡歷發(fā)送至導師郵箱：kmirisyu@polyu.edu.hk

03

瑞士蘇黎世聯(lián)邦理工學院招收全獎博士生

職位信息

截止日期：2022年11月5日

瑞士蘇黎世聯(lián)邦理工學院（ETH）景觀和城市系統(tǒng)規(guī)劃（PLUS）方向現(xiàn)有博士職位可申請，該項目被納入歐盟研究項目Horizon Europe，學制四年。

About the project

PhD in ecosystem services modelling

The Chair of?Planning of Landscape and Urban Systems?(PLUS)?is offering a PhD in ecosystem services modelling.

Project background

The position will be embedded in the EU research program Horizon Europe on “Decision-making principles for the sustainable use of ecosystems – SELINA”. SELINA will harness and further develop the work carried out?under prior EU Actions such as the Mapping Ecosystems and their Services (MAES) initiative, which has been launched in the context of Action 5 of Target 2 of the EU BD Strategy 2020 and make this work usable to support sustainable decisions in the public and private sectors. We are especially looking for candidates interested in uncertainty quantification in ecosystem services assessments. In particular, the project will investigate trade-offs in ecosystem services related to new renewable energy infrastructures in mountainous areas.

Job description

We are especially looking for individuals interested in uncertainty quantification in ecosystem services assessments. In particular, the project will investigate trade-offs in ecosystem services related to new renewable energy infrastructures in mountainous areas.

Your profile

We are looking for individuals?with the following skills:

a background (completed or soon to complete master's degree) in Environmental Science or Environmental Engineering, Geography, or a related field.

a deep understanding of the landscape and social-ecological systems

highly skilled in GIS and modelling

experience with programming (e.g. in R or Python)

proficiency in English (written and oral).

The PhD is for a period of 4 years. Candidates with good German skills and knowledge of Bayesian Networks have an advantage.

We offer

ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.

Working, teaching and research at ETH Zurich:

https://ethz.ch/en/the-eth-zurich/working-teaching-and-research.html

We value diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our?Equal Opportunities and Diversity website?to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

How?to apply

We look forward to receiving your online application with the following documents by?November 5th, 2022:

a motivation letter

a curriculum vitae

a complete academic transcript including undergraduate and graduate courses

copies of diploma/certificates

contact information of 2-3 potential referees

and a short description of research interests

We will evaluate the applications when they come in. Please note that we exclusively accept applications submitted through our online application portal. Applications via postal services or emails will not be considered.

For further information about the position, please contact Dr. Maarten van Strien (vanstrien@ethz.ch). For further information about the group, please visit our website at?www.plus.ethz.ch.?

04

荷蘭鹿特丹大學招收全獎博士生

職位信息

截止日期：2022年10月16日

荷蘭鹿特丹大學（Erasmus University Rotterdam）法學院現(xiàn)有博士職位可申請，主要研究多機構(gòu)公共安全AI（AI-MAPS）的跨學科研究，學制四年，有資金支持，預計2023年春季入學。

About the Job

PhD research position, in the framework of AI for Multi-Agency Public Safety (AI-MAPS), which is one of the four different, but connected PhD positions

Erasmus School of Law is recruiting ambitious PhD researcher in the framework of AI for Multi-Agency Public Safety (AI-MAPS), M/F, 1.0 FTE, duration: 4 years, starting preferably in January 2023.

You will be employed at Erasmus School of Law and will be part of the Erasmus Graduate School of Law. You belong also to the Erasmus School of Philosophy community. You will successfully complete your thesis in four years, following a tailormade educational program to acquire the research skills necessary to successfully complete the PhD-thesis. Next to that, you will be part of the ELSA-Lab AI-MAPS, see below.

Job?description

Your research project will fit in the research agenda of the interdisciplinary research project?AI for Multi-Agency Public Safety?(AI-MAPS), which is part of the National Research Agenda (NWA) and implemented by the Dutch Research Council (NWO). The initiators of the project are the Dutch Ministry of Economic Affairs and Climate, the Ministry of Defence, the Ministry of Justice and Security, the Ministry of the Interior and Kingdom Relations, and the Ministry of Education, Culture and Science.

AI for Multi-Agency Public Safety (AI-MAPS) is a so-called ELSA-Lab (Ethical, Legal and Societal Aspects). ELSA-Labs are places where research into technological developments is carried out that incorporates ethical, legal, societal, and economic developments. The research undertaken in AI-MAPS shall support the development of technological innovations that safeguard public values and constitutional rights, respect human rights – and strengthen these where possible – and that can count on public support. The research will therefore encourage the development of an ecosystem of trust. There is a total of?four PhD-places available in AI-MAPS?which are associated to specific work packages (see links to other positions below). All PhD-places have a?strong interdisciplinary orientation?and reflect AI-MAPS mission to become a hub for research and practice of trustworthy AI. Therefore, the consortium does not only comprise Erasmus University Rotterdam, Technical University Delft and Leiden University, but also Willem de Koning Academy, the Dutch Police and will collaborate with leading companies in the field of applied AI. Accordingly, the PhD-projects will be?co-supervised by professors from the three universities and from different faculties.

Public Safety is vital for the functioning of societies: Without safety, there is no freedom, no happiness, and no prosperity. Public safety matters to all of us and therefore needs to be jointly shaped and maintained by all societal partners. Data generated by multiple agents play an increasingly important role in preventing, preparing for, and mitigating harm or disaster. The development of an ecosystem of trust regarding AI-assisted public safety promotion is central to this ELSA Lab. In a variety of use cases, benefits and safeguards are analyzed against the private-public-machine agency backdrop. The PhD-projects shall connect to the use cases and work in a team on societal sustainable solutions about trustworthy AI.

Position III. Empirical-Ethical Aspects of AI applications in Multi-Agency Public Safety issues

How to use AI to address public safety challenges in a way that is responsible and responsive rather than disruptive? This position takes an iterative approach to ethical concerns that emerge in relation to use of AI in three case studies (public nuisance in neighborhoods, high impact crime, management of crowds during events). Adopting the ELSA approach, ethical analysis will be based on (a) proximity to social practice, (b) interaction with stakeholders and (c) epistemic inclusion (sensitivity to multiple forms of knowledge and experience) and will be guided by conceptual frameworks.

The PhD plays an active role in a series of participatory workshops with local stakeholders, including municipal representatives, local authorities, private partners, civilians, and representatives from vulnerable and marginalized communities. We will rely on in-depth semi-structured interviews, focus groups and the world cafe? method to account for rooted ethical concerns stemming from human-centered AI.

An important challenge of epistemic inclusion is how to reconcile various forms of (academic and non-academic) knowledge and experience. A starting point of epistemic inclusiveness is the concept of ubiquitous expertise. Rather than disavowing the importance of scientific expertise, the concept of ubiquitous knowledge claims that also for scientific experts, mutual learning is a more enriching experience than mere popularisation or implementation of research, whilst societal participants learn more from active dialogue than from more passive forms of public involvement. The research will consist of three steps:?

(a) analysis of the tensions, challenges and ambiguities involved,?

(b), normative assessment,?

(c) development of pathways for responsible use of AI.

The position is affiliate to the?Erasmus School of Philosophy?and to the?eLaw Center for Law and Digital Technologies of the Leiden Law School.

Requirements

holds a Master’s degree in philosophy or related and an interest in interdisciplinary, impact-driven and participatory research and in the societal challenges posed by AI;

can demonstrate scientific research skills, proven, for example, by the quality of the master thesis or other marks of excellence;

can preferably demonstrate additional skills which support research on matters of AI-technology, public safety, ethics, or engagement with the public;

has excellent oral and written skills in English and in Dutch. Because this PhD-project entails close interaction with Dutch stakeholders, the command of Dutch is a precondition for being a successful candidate public (please note the application is expected in English, see below).

Current master students, who will finish their master before the intended start date, are welcome to apply.?Bear in mind that proof of a master’s degree is a formal requirement for employment.

Conditions of employment

The positions are for 4 years, starting between January-March 2023. The PhD researchers will be part of the Erasmus Graduate School of Law. The position starts with a temporary employment contract for 18 months. This probationary period consists of an educational programme and individual research and entails an evaluation of the progress of the research after one?year. In case of a positive evaluation, the contract will be extended. In the remaining 30-month period PhD researchers focus on their research and the completion of their thesis. In both phases structured guidance is provided by the thesis supervisors and a doctorate committee composed of senior researchers and one of the PhD coordinators of Erasmus Graduate School of Law.

We offer an attractive position with good terms of employment in accordance with the Collective Labour Agreement of Dutch Universities (CAO NU).

The monthly salary is € 2,541?gross for a fulltime position of 38 hours a week during the first year (CAO NU scale doctoral candidate), which will increase annually up to € 3,247?gross per month in the fourth year.? ?

The attractive benefits package includes an end of year bonus of 8.3%, holiday allowance of 8%, extensive leave facilities for a healthy work/life balance, a good pension fund and an excellent collective insurance package. Staff are also entitled to use various facilities, such as sport facilities and library.

Since April 2018, Erasmus University Rotterdam has offered a Dual Career Programme to partners and spouses of new international employees. This programme is executed in close cooperation with Leiden University and TU Delft and aims to help partners and spouses find a job on the Dutch labour market. See

www.eur.nl/en/working/international-staff-eur/family/work-partners

How?to apply

More information about?Erasmus University Rotterdam,?Erasmus School of Law?and?Erasmus Graduate School of Law?can be found on the websites.??

For more information about the content of the PhD position, please contact prof. Dr. Hub Zwart (zwart@esphil.eur.nl); for more information about the procedure and/or requirements, please contact the EGSL office via?egsl@law.eur.nl.

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