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Free University of Berlin

Ranked
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Sustainability Impact Rated
Berlin, Germany
=113rd in World University Rankings 2026
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About Free University of Berlin

Basic information and contact details for Free University of Berlin

institution

The Free University of Berlin was founded in 1948, in the turmoil of post-war Germany, when students of the former Universität Unter den Linden, then located in the Soviet sector of the city, were facing persecution because of their views. With international support, the Free University was established, allowing scholars to pursue their teaching and learning without political interference.

Truth, justice and freedom remain the university’s core values with these words imprinted on the university seal.

In the 1960s, the university was the site of several student protests and demonstrations. In 1990, German reunification brought about changes in the management of the university, and, with it, came a newfound focus on research. Today, it is one of only eleven designated ‘German Universities of Excellence’.

Set in the leafy suburb of Dahlem in southwest Berlin, the university is home to more than 32,000 students and offers over 150 degree programmes. It has 17 collaborative research centres, an academic staff of almost 5,000 and partnerships with universities the world over, as well as seven international liaison offices in Beijing, Brussels, Cairo, Moscow, New Delhi, New York, and Sao Paulo.

The university also boasts five Nobel Prize winners among its staff and 17 winners of the Leibniz Prize. With women employed in 30 per cent of its professorships, the university is also at the forefront of German higher education institutions when it comes to gender representation.

Over the years, the Free University of Berlin has hosted many influential figures, including President John F. Kennedy who chose it as the location to deliver his ‘Ich bin ein Berliner’ speech in 1963.

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Key Student Statistics

A breakdown of student statistics at Free University of Berlin

gender ratio
Student gender ratio
63 F : 37 M (1)
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International student percentage
24% (1)
student per staff
Students per staff
43.9 (1)
student
Student total
24851 (1)

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

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$98,387 - $113,252 plus 17% superannuation

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Research Engineer (Federated Causal Inference in Heterogeneous Data Environments) - UP

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Singapore Institute of Technology (SIT)

Singapore

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Singapore Institute of Technology (SIT)

Singapore


As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills.

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UNIVERSITY OF SOUTHAMPTON

University of Southampton

United Kingdom, Southampton

institution

University of Southampton

United Kingdom, Southampton


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Research Assistant Professor, Office of the Faculty of Business

LINGNAN UNIVERSITY

Lingnan University

Hong Kong

institution

Lingnan University

Hong Kong


Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Research Assistant Professor Office of the Faculty of Business (Post Ref.: 25/296) The Faculty of Business (https://www.ln.edu.hk/fb/) at Lingnan University has been accredited by the Association to Advanced Collegiate Schools of Business (AACSB International). The Faculty plays an important role in educating students about cutting-edge, practical knowledge and skills, improving students' academic and professional capabilities, as well as enhancing students' awareness on social responsibilities. Furthermore, we have been devoting every effort to the sustainable development of Lingnan University in the academic community and the substantive realization of our values and mission in the Hong Kong society and the world. The appointee is expected to (a) conduct independent and collaborative research; (b) teach multiple subjects in both undergraduate-level and postgraduate-level programmes of the Faculty. The appointee will work for the Office of the Faculty of Business and Hong Kong Institute of Business Studies, and may be required to undertake certain administrative duties as required by supervisor(s). General Requirements Applicants should hold a PhD degree or an equivalent qualification in management science, operation research or other relevant fields for no more than five years prior to the commencement of the appointment. Applicants should have a strong track record in research evidenced by quality research output in line with international standards. He/she should have strong commitment to research and have an excellent command of English and Chinese (including Mandarin). The appointees are expected to submit applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. Appointment The conditions of appointment will be competitive. The rank and remuneration will be commensurate with experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee. Appointment will be normally made on an initial contract for up to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants should provide a CV and information about their work experience, qualifications, research interests and achievements. A statement of their publications and of any works in progress currently under review are required. Applicants shall also provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will begin in January 2026 until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

Salary

Competitive

Posted

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Assistant Lecturer in the Department of Social Work and Social Administration

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 533957 Work type: Full-time Department: Department of Social Work and Social Administration (30300) Categories: Teaching Staff Applications are invited for appointment as Assistant Lecturer in the Department of Social Work and Social Administration (Ref.: 533957), to commence as soon as possible thereafter, on a two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. The Assistant Lecturer should possess a Master degree in Social Sciences or a related discipline. He/she will assist the Curriculum Coordinator in coordinating program activities, conducting organizational analysis, and assessing training needs. The role also involves liaising with stakeholders, assisting in the delivery of training and coaching activities (which may include taking up part of the teaching duties), collecting and analyzing feedback from training and consultation sessions to inform ongoing improvements, and supporting implementation of the program. He/she may also contribute to the development of curriculum and teaching materials, evaluation efforts, etc. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment will come with a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start as soon as possible and continue until January 9, 2026, or until the post is filled, whichever is earlier.

Salary

Competitive Salary

Posted

18 Dec 2025

Subjects Taught at Free University of Berlin

See below for a range of subjects taught at Free University of Berlin

Arts and Humanities

  • Archaeology
  • 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

Law

  • Law

Life Sciences

  • Biological Sciences
  • Veterinary Science

Physical Sciences

  • Chemistry
  • Geology, Environmental, Earth and Marine Sciences
  • Mathematics and Statistics
  • Physics and Astronomy

Psychology

  • Psychology

Social Sciences

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