編者按

申請歐洲讀博通常需要碩士學位，一般不需要GRE也無需當?shù)卣Z言，考一個雅思|托福成績即可申請，套磁是申請的關(guān)鍵。歐洲崗位制的博士職位，一般全年滾動開放，因此需時刻關(guān)注。

歐洲因其高福利著稱，讀博也不例外，如果可以拿到工作合同，工資按當?shù)氐燃墭藴视兴煌?，通常享?0天帶薪年假以及醫(yī)療保險，讀博工資在當?shù)匾褜儆谥挟a(chǎn)，例如德國博士年薪40w人民幣，瑞士高達50w人民幣，并享受一切相關(guān)福利，畢業(yè)后申請當?shù)赜谰踊蛞泼?，相比美國也簡單很多?/p>

飛躍計劃每周都會為大家整理最新海外博士招生和獎學金介紹，大家快快看看有沒有合適自己的項目吧！

目錄?Catalogue

1.?英國倫敦帝國理工學院招收博士生（含獎學金）

2.?荷蘭萊頓大學招收全獎博士生

3.?丹麥技術(shù)大學招收全獎博士生

4.?香港浸會大學招全獎博士生/研究助理

01

英國倫敦帝國理工學院招收博士生（含獎學金）

職位信息

英國倫敦帝國理工學院（Imperial College London）電子電氣工程系Dr. Chen Qin課題組現(xiàn)有博士職位可申請，主要研究機器學習、醫(yī)學影像計算及分析，提供獎學金，2023年入學。

About the project

Applications are invited for a PhD studentship in the field of machine learning in medical imaging, which will be jointly hosted by Department of Electronics and Electrical Engineering and the College’s new I-X initiative. The PhD position is partially funded for international students and fully funded for home student (UK). It is especially targeted at PhD applicants with an interest in artificial intelligence and healthcare.

The PhD research will explore the important topics of machine learning solutions for improving medical imaging workflow. Particularly, the research project will focus on investigating advanced deep learning approaches for inverse problems. It will develop approaches that can incorporate explicit prior knowledge into deep learning methods for data-efficient and interpretable learning. The aim of the research is to combine the best of knowledge-driven and data-driven approaches for inverse medical imaging problems, such as image reconstruction and image registration. The research is at the intersection of artificial intelligence and healthcare and has the potential to make significant positive impact on society by improving patient care through better diagnosis and treatment.

Department of Electronics and Electrical Engineering has a long and proud history of world-class research and innovation and is at the forefront of tackling the most urgent global challenges in energy, healthcare, smart technology, and communications. It ranked the 1st in the UK (Engineering) in REF 2021 based on the proportion of world-leading research (4*).

I-X (Imperial-X) is a new collaborative environment for research, education, and entrepreneurship?across?the areas of artificial intelligence, machine learning, data science, statistics, and digital technologies.?The goal of I-X is?to?realise new models for research, education, and entrepreneurship that go beyond traditional siloes?imposed?by?academic?disciplines,?thus?forming?a?blueprint?for?the?university?of?the?future.?I-X?benefits?from?a strategic investment by the College, which includes new facilities on?Imperial’s?White City and South Kensington campuses. For more information about I-X, please visit

https://ix.imperial.ac.uk

Qualification

Applicants are expected to have a First Class or Distinction Masters level degree, or equivalent, in a relevant scientific or technical discipline, such as computer science, mathematics or engineering. Applicants should also meet the minimum requirement as outlined in the guidance on qualifications：

http://www.imperial.ac.uk/study/pg/apply/requirements/pgacademic/

Applicants must be fluent in spoken and written English.?Good team-working, observational and communication skills are essential.?Experience?in one or more of the following areas is desired:?machine learning, deep learning, mathematical modelling, and software engineering.

How to apply

For further details of the post, please contact Dr Chen Qin (https://sites.google.com/view/chen-qin), at?c.qin15@imperial.ac.uk.?Early?applications?are?encouraged. The post is preferred for candidates who can start in early 2023.

Closing date:?until post filled.

We are committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people. We encourage applicants from underrepresented backgrounds to apply.

02

荷蘭萊頓大學招收全獎博士生

職位信息

截止日期：2022年9月30日

荷蘭萊頓大學藥物研究學術(shù)中心（LACDR）Dr. Joachim Van Guyse團隊現(xiàn)有博士職位可申請，合成聚合物化學方向，學制四年，提供獎學金。

About the project

The group of Dr. Joachim Van Guyse at the Leiden Academic Center for Drug Research (LACDR) has an opening for 1 PhD position in synthetic polymer chemistry. The PhD student will participate in a project focused on engineering polymers for the delivery of nucleic acids, messenger (m)RNA in particular. The overall aim of the research is to develop novel poly(2-oxazoline)-polypeptide block-copolymers, lipid-polymer conjugates and nucleic acid formulations thereof by employing new synthetic methodologies and state of the art techniques.

The research topic in this position involves the development of structure-activity relationships of the synthesized block-copolymers and lipid-polymer conjugates in the development of nucleic acid formulations to facilitate systemic circulation and improve the biodistribution of nucleic acid therapeutics.

Objectives:?

1) Synthesis and characterization of poly(2-oxazline)-polypeptide block copolymers and poly(2-oxazline)-lipid conjugates, bioconjugation of targeting ligands and conjugation of imaging moieties;

2) formulation development using state-of-art techniques, e.g. microfluidics;

3) in-depth physicochemical characterization of the formulations, followed by in vitro and in vivo evaluation of selected systems with respect to gene expression, cellular uptake, mRNA stability, biodistribution and circulation.

Selection criteria

The candidates should have a Master’s degree in synthetic chemistry, polymer chemistry or Materials science with a strong background in polymer or organic synthesis, ideally with experience in the polymerization of 2-oxazolines and/or NCAs. Moreover, knowledge or experience regarding characterization techniques (MALDI-TOF-MS, light scattering, SEM/TEM, Fluorescence (e.g. FRET)) is required. Besides well-founded chemical expertise, a keen interest in the application of material science to their biological evaluation and interest in therapeutic needs is expected. We are looking for team players that are capable to independently plan and execute their research tasks within an interdisciplinary project, which combines chemists, physicists, biologists and clinicians. Candidates should have the ability to think creatively and combine an excellent command of the English language with strong communication skills. Highly motivated students are strongly encouraged to apply.

Terms and conditions

We offer a full-time, one year term position, with the possibility of renewal for an additional 3 years based on performance. Starting date will be as soon?as?possible.

You will be appointed in accordance with the Collective Labour Agreement for Dutch Universities. The salary ranges from € 2.541,- to € 3.247,- gross per month, depending on experience (pay scale P).

Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3 %), training and career development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. For international spouses we have set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information, see the website.

All our PhD students are embedded in the Leiden University Graduate School of Science. Our graduate school offers several PhD training courses at three levels: professional courses, skills training and personal effectiveness. In addition, advanced courses to deepen scientific knowledge are offered by the research school.

Diversity and inclusion

Fostering an inclusive community is a central element of the values and vision of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive.

Our organization

The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development have top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders of their own discipline; their aim is to benefit science, and to contribute to addressing the major societal challenges of the future.

The research carried out at the faculty is very diverse, ranging from mathematics, information science, astronomy, physics, to chemistry, bio-pharmaceutical sciences biology, and environmental sciences. The research activities are organized in eight institutes. These institutes offer eight bachelor’s and twelve master’s programs. The faculty has grown strongly in recent years and now has more than 2,384 staff and almost >5000 students. We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together.

How to apply

We look forward to receiving your application with a CV as well as transcripts of marks for your degree(s) and the names and contact details of two academic referees to e-mail address:

j.f.r.van.guyse@lacdr.leidenuniv.nl

Only applications received no later than September 30th, 2022 can be considered.

Informal enquiries can be also sent to Joachim Van Guyse, e-mail：

j.f.r.van.guyse@lacdr.leidenuniv.nl

03

丹麥技術(shù)大學招收全獎博士生

職位信息

丹麥技術(shù)大學（DTU）由Horizon Europe資助的博士項目建筑機器人感知多任務(wù)學習領(lǐng)域現(xiàn)有職位可申請，學制三年，提供全額獎學金。

About the project

PhD scholarship in Multi-Task Learning for Construction Robotics Perception

Would you like to combine novel machine learning approaches with autonomous robots in the construction sector? We are inviting a fully funded 3-year PhD position in the area of multi-task learning for construction robotics perception.

The PhD project is funded by the Horizon Europe project?RobétArmé (Human-robot collaborative construction system for shotcrete digitization and automation through advanced?perception, cognition, mobility and additive manufacturing skills). Thus, this PhD project?will be an integral part of a broader research team, consisting of collaborating partners across Europe with a common passion for autonomous construction robotics.

The PhD candidate will explore multi-task learning methods to analyse data from multiple different sensors onboard an autonomous mobile robot,?while the?perception system needs to operate under harsh environmental and lighting conditions. The ultimate goal of this PhD project is to integrate information extracted from sensor data (such as semantic information about depicted objects, defects or other relevant information for shotcreting) in reconstructed BIM/CIM models. As a result, the research topic of this PhD project stands at the intersection of Machine Learning, Computer Vision and Robotics.

Responsibilities and qualifications

Are you excited about introducing robotics in the construction sector, making it more efficient and sustainable? Can you also see the opportunities that Machine Learning, Computer Vision and Robotics open up for autonomously operating construction robots? If you share our passion for technology and the difference it can make, then perhaps you are our new PhD student.

As part of our research team:

-You will be responsible for developing the AI perception system of a mobile robot, endowing it with the capability to autonomously analyse data from its various sensors.

-You will engage in novel research around deep learning and 2D/3D computer vision for a well-defined real problem.

-You will participate in the integration and field testing of the robotic platform, together with our other high-profile European partners of the RobétArmé project.

At DTU, you will be part of the Automation & Control Group and you will find yourself among multiple PhD students and senior researchers working on multiple aspects of autonomous systems and robotics. Your PhD project will result in scientific publications and experimental validation of your results. You will present at international conferences as part of your research training and you will in addition sharpen your didactics skills through experience as teaching assistant.

Qualifications

Candidates should have a two-year master's degree (120 ECTS points)?in Autonomous Systems, Robotics, Electrical Engineering, Computer Science or equivalent,?or a similar degree with an academic level equivalent to a two-year master's degree.

Additionally, it would be nice to have any experience with some of the following:

-Specialization in machine learning or robot vision would be an advantage.

-Experience with open-source tools for machine learning and robot vision would be an advantage.

-Familiarity with design of deep neural networks architectures would be an advantage.

Approval and Enrolment

The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see?DTU's rules for the PhD education.

We offer

DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

Starting date is 1?October 2022 (or according to mutual agreement). The position is a full-time position.

Further information

Further information may be obtained by contacting Professor Lazaros Nalpantidis,?lanalpa@dtu.dk.

You can read more about Automation & Control Group at the Department of Electrical & Photonics Engineering at?http://www.aut.elektro.dtu.dk/.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at?DTU – Moving to Denmark.?Furthermore, you have the option of joining our monthly free seminar “PhD?relocation to Denmark and startup “Zoom” seminar” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.

Application procedure

Your complete online application must be submitted no later than?24 August?2022 (Danish time).?Applications must be submitted as?one PDF file?containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach?all your materials in English in one PDF file. The file must include:

-A letter motivating the application (cover letter)

-Curriculum vitae

-Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale

You may apply prior to ob-tai-ning your master's degree but cannot begin before having received it.

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender,?race, disability, religion or ethnic background are encouraged to apply.

At DTU Electro, we combine the immense possibilities of electrical and photonics engineering. Light and electronics - photons and electrons - are the key bits of tomorrows sustainable society. Where they meet, change is made.?Our?research is, among other things, used in the healthcare sector for diagnostics, treatment and improving the quality of life. We research into the development of more sustainable energy systems, safer autonomous systems and a faster, greener and more secure internet.

04

香港浸會大學招全獎博士生/研究助理

職位信息

香港浸會大學（Hong Kong Baptist University）中醫(yī)藥學院韓全斌教授課題組招聘藥理學或免疫學博士生和研究助理，資金待遇優(yōu)厚。

招聘簡介

香港浸會大學（Hong Kong Baptist University）是香港六大公立高等教育學府之一。

詳情可見：

https://www.hkbu.edu.hk/en.html

中醫(yī)藥學院于1999年成立，是香港第一間中醫(yī)藥學院，擁有香港唯一的中藥學專業(yè)和唯一的中醫(yī)醫(yī)院，在香港高教界的中醫(yī)藥范疇處于領(lǐng)先地位。

韓全斌博士現(xiàn)為香港浸會大學中醫(yī)藥學院教授，畢業(yè)于中科院昆明植物所，師從孫漢董院士。主要研究方向為中藥質(zhì)量控制、中藥多糖免疫活性以及作用機制等。在國際知名期刊Carbohydrate Polymers, Food Hydrocolloids, International Journal of Biological Macromolecules等發(fā)表200+篇文章，H-index41。

招聘方向:?中藥多糖藥理、免疫學

待遇:??研究助理15000港幣／月，符合研究生院招生條件者可優(yōu)先申請博士研究生（最新博士研究生獎學金18300港幣／月）

應(yīng)聘條件

a. 在國內(nèi)外獲得碩士及以上學歷，研究方向為藥理學，免疫學等，動物實驗熟練者優(yōu)先

b. 申請者應(yīng)具備良好的英文閱讀與撰寫能力，博士入學要求IELTS≥6，各項成績不低于5.5；或TOEFL>80，各項成績不低于18

c. 發(fā)表過SCI論文者優(yōu)先

d. 有良好的溝通能力與團隊合作精神

e. 全年接收申請

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