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Soochow University, China

Ranked
Suzhou City, China
501–600th in World University Rankings 2026
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About Soochow University, China

Basic information and contact details for Soochow University, China

institution

Soochow University : A place where dreams start
Soochow University was founded in 1900. It is one of the oldest modern institutions of high learning in China. Through the persistent endeavor and exploration of several generations during the past century, Soochow University has now grown into a high level university in China with complete coverage of disciplines, remarkably large enrollment, solid foundation, outstanding educational achievements and fairly high reputation both at home and abroad. It is now a top comprehensive university of Jiangsu Province as well as a member university of the national “211 Project” and “2011 Plan” in China.

Soochow University has always been concentrating on providing high quality education. We devote every effort to help our students enrich their knowledge, train their professional skill, maximize their talents and realize their ideals and dreams. At the same time, Soochow University is also deeply committed to academic and scientific research. Our creative, interdisciplinary and international approach to research has led to many fundamental discoveries and technological breakthroughs.

Located in the historical and cultural city of Suzhou and close to the metropolitan city of Shanghai, Soochow University is also known for its vigorous international collaboration and exchanges. With academic links and cooperation with more than 200 universities around the world, the university is dedicated to attracting the best-and the brightest, nurturing them to become a full grown man.

Welcome to Soochow University, a place where dreams start. For more information about the university, please visit: http://eng.suda.edu.cn.

Soochow University at a Glance

  • Founded in the year of 1900
  • The first university in China that established Law School
  • The first university in China that published university journal
  • The first university in China that provided postgraduate education and offered master degree

 

A key comprehensive provincial university in Jiangsu Province

  • One of China’s top 100 universities under the “Project 211” directed by the Ministry of Education
  • One of the first batch of universities of the National “2011 Plan”
  • Rankings among Chinese Universities in 2021 (Times Higher Education): 29
  • Number of Colleges and Schools: 30
  • Number of Faculty and Staff: 5254
  • Number of Full-time professor and associate professors:  3464

Number of Students:

Undergraduate students:  27,824

Postgraduate students:14,533

Doctoral students:  4,678

International students:  2,097

University Area: 4 campuses, 755.48 acres

Tian Ci Zhuang Campus (Main Campus)

Dushu Lake Campus

Yangcheng lake Campus

Future Campus

  • Library collection: over 5 million volumes and Over 82 subscription databases.
  • University Motto: “Onto a full grown man”
  • University Vision: “First-class in China and well known around the world”

    (Statistics by July, 2021)

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Key Student Statistics

A breakdown of student statistics at Soochow University, China

gender ratio
Student gender ratio
50 F : 50 M (1)
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International student percentage
2% (1)
student per staff
Students per staff
15.8 (1)
student
Student total
48737 (1)

Based on data collected for the (1) World University Rankings 2026

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Competitive

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Post-doctoral Fellow in the Division of Neurology of the Department of Medicine

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 534117 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Division of Neurology of the Department of Medicine, School of Clinical Medicine (Ref.: 534117) We now invite applications for the captioned post. Duties and Responsibilities Assist in collaborative multi-omic research projects relating to gut microbiota and vascular and brain health Involve in the design, implementation, and testing of statistical and AI software for analysing large healthcare-related data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff, preparing manuscripts, drafting and submitting competitive internal and external grants Perform other duties as assigned Requirements A Ph.D. degree with a strong research background in bioinformatics, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics, proteomics and metabolomics data A good command of written and spoken English Strong communication skills A demonstrated track record of publishing academic research papers Self-motivated, hardworking, and able to work well in an interdisciplinary team What We Offer The appointee would be exposed to ample opportunities in developing an academic career. The appointment will commence as soon as possible on a temporary basis for 1 year, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. Those who have responded to the previous advertisement (Ref.: 533560) need not re-apply.  How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from [two weeks from posting] and continue until [one month from posting], or until the post is filled, whichever is earlier The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

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Competitive salary

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Post-doctoral Fellow in the Division of Neurology of the Department of Medicine

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

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The University of Hong Kong

Hong Kong


Ref.: 534116 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Division of Neurology of the Department of Medicine, School of Clinical Medicine (Ref.: 534116) We now invite applications for the captioned post. Duties and Responsibilities Work with the Stroke Research and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and research MRI techniques and sequences to study patients with stroke and dementia, or at risk of these conditions, in large cohort studies as well as randomized controlled trials Perform other duties as assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis pipeline according to project requirements A good communication skills with a good command of written and spoken English and Chinese Able to work independently and in a multidisciplinary team Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample opportunities in developing an academic career. The appointment will commence as soon as possible on a temporary basis for 1 to 3 year(s), with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. Those who have responded to the previous advertisement (Ref.: 533559) need not re-apply.  How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from [two weeks from posting] and continue until [one month from posting], or until the post is filled, whichever is earlier The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Salary

Competitive salary

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Tenure-Track Prof./Assoc. Professor/Asst. Professor at the School of Computing and Data Science

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 534136 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-track Professor/ Associate Professor/ Assistant Professor (several posts) at the School of Computing and Data Science (Ref. 534136), to commence on September 2026 or as soon as possible thereafter. The appointment rank will be determined based on the qualifications and experience of the successful candidate. For Assistant Professors, the appointment will initially be made on a three-year fixed-term basis, with the possibility of renewal and with consideration for tenure before the expiry of the second three-year fixed-term contract, subject to satisfactory performance. Exceptionally outstanding candidates at Professor/Associate Professor level may be considered for appointment on tenure terms, subject to the University’s approval. The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. For more information about the School, please visit http://www.cds.hku.hk. The Positions The positions are open to all research areas in Computer Science, Artificial Intelligence, Data Science or a related field, including but not limited to: AI / IoT / AIoT Security; Computer Vision; Computing & Big Data Systems; Data Analytics & Technologies; Data Privacy; Digital Forensics; FinTech; Generative AI; Large Language Models; Theoretical Computer Science; Quantum Computing. The appointees will be expected to contribute to undergraduate and postgraduate teaching, supervise graduate students, conduct high-quality research, and participate in administrative duties at CDS. Requirements A Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field A strong commitment to excellence in research and teaching and proven qualities of academic leadership. A solid track record in research. Outstanding and internationally recognised research achievements are essential for appointment at Professor level. What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave, professional leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will be provided as applicable. A start-up package that is commensurate with the needs and experience of the appointee will be provided. How to Apply The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V., a research statement outlining current and future research plans and interests, a statement on teaching philosophy, relevant teaching evaluations, alongside three recent published research papers, and the contact information / recommendation letters of three referees. Review of applications will commence as soon as possible and continue until June 30, 2026 or until the posts is filled, whichever is earlier. Those who have responded to the previous advertisement (Ref.: 533072) need not re-apply. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Salary

Competitive salary

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9 Jan 2026

Early Years Practitioner

UNIVERSITY OF SOUTHAMPTON

University of Southampton

United Kingdom, Southampton

institution

University of Southampton

United Kingdom, Southampton


Join Our Team at the 'University of Southampton’s' - Early Years Centre Creating calm, curiosity-filled spaces where children, and practitioners, truly thrive. We are excited to invite passionate and motivated Early Years Practitioners to join our dedicated team. This is a role for someone who brings commitment, flexibility, and a genuine desire to nurture young children through the earliest and most important stage of their development. About the Role: As an Early Years Practitioner at our Centre, you will play a key part in providing high-quality care and education, supporting children across every stage of their early learning journey. You’ll help to create a calm, tranquil environment where children and staff feel safe, secure, and content in a place where families instantly feel welcomed and reassured. Our approach is deeply reflective and child-centred. Together, we always ask “why?”, ensuring that every interaction, resource, and environment we offer has purpose and meaning. We focus on open-ended opportunities and children’s individual interests, extending their play through thoughtful modelling, communication, and encouragement. We believe children learn best when they are happy, relaxed, and having fun. By nurturing their natural curiosity, we help them build confidence, independence, and a lifelong love of learning. What We’re Looking For: We want practitioners who are proud of the care they provide and individuals who bring compassion, kindness, and creativity to their work every day. Our team is united, supportive, and committed to creating a setting where children, families, and staff alike can express their curiosity, individuality, and nurturing personalities. Applicants must have one of the following qualifications (or equivalent): NVQ Level 3 in Early Years and Education CACHE Diploma NNEB A satisfactory Enhanced DBS check is required. For more information: We’d love to hear from you. For an informal discussion with a member of our management team, call (023) 8059 3465 or email your CV to eycentre@soton.ac.uk Become part of a centre where your passion is valued, your ideas matter, and your work truly makes a difference every single day.

Salary

£26,299 to £27,824 per annum

Posted

9 Jan 2026

Subjects Taught at Soochow University, China

See below for a range of subjects taught at Soochow University, China

Arts and Humanities

  • Architecture
  • Art, Performing Art and Design
  • History, Philosophy and Theology
  • Languages, Literature and Linguistics

Business and Economics

  • Accounting and Finance
  • Business and Management
  • Economics and Econometrics

Computer Science

  • Computer Science

Education Studies

  • Education

Engineering

  • Chemical Engineering
  • Electrical and Electronic Engineering
  • General Engineering
  • Mechanical and Aerospace Engineering

Law

  • Law

Life Sciences

  • Agriculture and Forestry
  • Biological Sciences
  • Sport Science

Medical and Health

  • Medicine and Dentistry
  • Other Health

Physical Sciences

  • Chemistry
  • Mathematics and Statistics
  • Physics and Astronomy

Psychology

  • Psychology

Social Sciences

  • Communication and Media Studies
  • Politics and International Studies
  • Sociology