? ? 前言

本文轉(zhuǎn)自我于海德堡大學(xué)讀博期間（2017年）創(chuàng)辦的【DIY飛躍計(jì)劃】公眾號(hào)。【DIY飛躍計(jì)劃】每周都會(huì)整理匯總海外博士招生和獎(jiǎng)學(xué)金介紹，旗下【五億海外獎(jiǎng)學(xué)金】每天發(fā)布，歡迎持續(xù)關(guān)注~

如果小伙伴們時(shí)間有限，有海外讀博、申請(qǐng)全獎(jiǎng)需求，也可以聯(lián)系客服進(jìn)行咨詢，【DIY飛躍計(jì)劃】提供多個(gè)國(guó)家全獎(jiǎng)PhD申請(qǐng)服務(wù)~

目錄?Catalogue

1.?荷蘭阿姆斯特丹大學(xué)招全獎(jiǎng)博士生

2.?香港城市大學(xué)楊屹課題組招全獎(jiǎng)博士

3.?美國(guó)天普大學(xué)招全獎(jiǎng)博士

4.?ETH蘇黎世聯(lián)邦理工學(xué)院招收全獎(jiǎng)博士生

01?

阿姆斯特丹大學(xué)招收全獎(jiǎng)博士

職位信息

PhD Position "Learning to Solve Analogies: Why do Children Excel Where AI Models Fail?"

截止日期：2023年8月10日

1?Job description

Would you like to work in the field of Cognitive AI? We are looking for a PhD candidate to join our research project entitled “Learning to solve analogies: Why do children excel where AI models fail?”, funded by NWO. This project is led by dr. Claire Stevenson (PI) and dr. Han van der Maas (promoter).

The public summary of the project is as follows. Body is to feet as tree is to …? Children become capable of solving such analogies around four-to-five years of age (answer: roots). Modern artificial intelligence (AI) systems, like young children, often provide less optimal answers such as “l(fā)eaves”. Analogical reasoning lies at the heart of human intelligence. Why can't AI systems reason by analogy as well as children do? This project examines how children learn to solve analogies that challenge AI, generating insights to create more robust and trustworthy AI-systems, while providing key insights into human intelligence and how it develops.

This project has three objectives:

• Examine how and why children shift from associative reasoning to successful analogy solving.

• Evaluate analogical reasoning ability in a selection of AI deep learning models and trace how it develops.

• Compare children’s and AI deep learning models’ development to understand when and why their analogical reasoning abilities diverge.

2 What are you going to do

The PhD student is responsible for helping achieve these three objectives in the visual and/or verbal analogical reasoning domain. They will collaborate with the supervisors, a post doc and international colleagues.

The research tasks will include data collection with children (in person and online with Prowise Learn), creating and/or adapting deep learning analogy and abstract reasoning solvers, behavioral experiments with deep learning models, psychometric evaluations of analogy tasks, complex statistical analyses including longitudinal data analysis (e.g., latent change score models) and comparing human and AI analogy solving performance and development.

Teaching is limited to 5% of the contracted hours, by assisting in courses and supervising (bachelor) thesis students.

3 Your?experience and profile

• A master's degree with specialization in cognitive science, psychology, artificial intelligence, or a related discipline.

• Experience coding in R and Python (or related computer programming languages).

• Excellent written and spoken command of English.

• Excellent written and spoken command of Dutch or a willingness to learn Dutch.

4 職位信息網(wǎng)址

https://vacatures.uva.nl/UvA/job/PhD-Position-Learning-to-Solve-Analogies-Why-do-Children-Excel-Where-AI-Models-Fail/774857402/

02

香港城市大學(xué)楊屹課題組招收全獎(jiǎng)博士

職位信息

香港城市大學(xué)Spring 2024春全獎(jiǎng)生物統(tǒng)計(jì)學(xué)博士生(PhD in Biostatistics)

1 簡(jiǎn)介

楊屹老師來(lái)自香港城市大學(xué)生物統(tǒng)計(jì)系與數(shù)據(jù)科學(xué)學(xué)院，現(xiàn)招收1名2024年春季入學(xué)的博士生。楊老師本科畢業(yè)于浙江大學(xué)竺可楨學(xué)院，并于明尼蘇達(dá)大學(xué)獲得博士學(xué)位，隨后于哥倫比亞大學(xué)生物統(tǒng)計(jì)系任職博士后研究員。他于2022年加入香港城市大學(xué)擔(dān)任助理教授，首年即獲得香港研究資助局的杰出青年學(xué)者計(jì)劃(Early Career Scheme,ECS)。他的研究興趣主要為統(tǒng)計(jì)遺傳學(xué)，目前的研究重點(diǎn)為高維數(shù)據(jù)中的變量選擇方法，并應(yīng)用于人類基因組數(shù)據(jù)以尋找致病的遺傳變異點(diǎn)位。他的研究主要發(fā)表于American Journal of Human Genetics等期刊。

導(dǎo)師個(gè)人主頁(yè):https://yiyangphd.github.io/

2 招生方向

1、擁有統(tǒng)計(jì)、數(shù)學(xué)、計(jì)算機(jī)、數(shù)據(jù)科學(xué)、生物信息學(xué)以及其他相關(guān)專業(yè)背景

2、擁有良好的數(shù)學(xué)基礎(chǔ)，或者具備較強(qiáng)的編程能力

3 聯(lián)系方式

歡迎感興趣的同學(xué)于9月30日前將CV與成績(jī)單發(fā)送至

yi.yang@cityu.edu.hk

同時(shí)也招收Fall2024的學(xué)生歡迎感興趣的同學(xué)聯(lián)系我

03?

美國(guó)天普大學(xué)招收全獎(jiǎng)博士

職位信息

美國(guó)天普大學(xué)(Temple University)土木與環(huán)境工程系Dr.Yichuan Zhu招收一名全獎(jiǎng)博士

入學(xué)時(shí)間在2024年春季或者秋季

1 簡(jiǎn)介

導(dǎo)師簡(jiǎn)介: Dr. Yichuan Zhu于2019年獲得美國(guó)德州農(nóng)工大學(xué)土木工程博士學(xué)位。2019至2021年在美國(guó)肯塔基州進(jìn)行博士后研究，主要是機(jī)器學(xué)習(xí)和遠(yuǎn)程遙感在地球科學(xué)和工程學(xué)方面的研究開(kāi)發(fā)。2021年9月起擔(dān)任天普大學(xué)助理教授。目前主要研究四個(gè)方向:?

• Probabilistic Machine Learning and Uncertainty Quantification,

• Micromechanics of Granular Material,

• Remote Sensing and Applications,

• Risk/Reliability Assessment and Management.

2 招生要求

1. 巖土工程計(jì)算機(jī)等相關(guān)方向的優(yōu)秀碩士畢業(yè)生

2. 有較好的數(shù)學(xué)基礎(chǔ)熟練掌握Python或者C/C++等計(jì)算機(jī)語(yǔ)言

3. 有機(jī)器學(xué)習(xí)遠(yuǎn)程遙感數(shù)值模擬經(jīng)驗(yàn)的申請(qǐng)者優(yōu)先

3 研究方向

主要集中在：

1）結(jié)合機(jī)器學(xué)習(xí)和遠(yuǎn)程遙感在工程防災(zāi)里面的應(yīng)用；

2）土力學(xué)數(shù)值模擬以及實(shí)驗(yàn)

4 聯(lián)系方式

有意者請(qǐng)將簡(jiǎn)歷語(yǔ)言能力考試成績(jī)發(fā)往yichuan.zhu@temple.edu

04?

ETH蘇黎世聯(lián)邦理工學(xué)院招收全獎(jiǎng)博士

職位信息

Bioinformatician Single Cell Analysis and Spatial Transcriptomics

1 Project

The Functional Genomics Center Zurich (FGCZ) is a joint core facility of the ETH Zurich and the University of Zurich that applies the latest omics technologies for biomolecular research and personalized medicine. The FGCZ Genome Informatics group supports researchers with the analysis and interpretation of large-scale datasets, in particular next generation sequencing (NGS) data. The team covers raw data processing, high-performance computing, statistical evaluation, interpretation, and integrated analysis. The team runs an excellent open source based software environment and establishes state-of-the-art data analysis concepts and algorithms.

You will extend the existing team and closely collaborate with researchers at ETH Zurich and University of Zurich. The main responsibilities will be the reproducible analysis, visualisation and interpretation of multi-omics datasets with a focus on single-cell sequencing and spatial transcriptomics. You will use and extend existing analysis workflows. Additionally, you will advise researchers of ETH Zurich and University of Zurich on experimental design and data analysis strategies.

2 Profile

• PhD degree in bioinformatics or a related field

• proficient in NGS data analysis with very good scripting skills

• good understanding of biological research questions

• highly communicative, team-oriented

• enthusiastic about statistical and bioinformatics data analysis

• service-oriented and ready to keep up with the constant developments in the field

• advanced knowledge of English

• working experience with GNU/Linux operating system

• in depth knowledge of R/Bioconductor and/or python

3 Apply

We look forward to receiving your online application with the following documents:

• Motivation letter

• Curriculum Vitae

• Diplomas & Certificates, job references

• contact details of two referees

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the FGCZ can be found on our website www.fgcz.ch. Questions regarding the position should be directed to?

Dr. Hubert Rehrauer,?hubert.rehrauer@fgcz.ethz.ch

?(no applications).

4 職位信息網(wǎng)址

https://jobs.ethz.ch/job/view/JOPG_ethz_ngxNfCVB25wVQhgfO5

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