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RPTU University Kaiserslautern-Landau

Ranked
Germany
501–600th in World University Rankings 2026
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About RPTU University Kaiserslautern-Landau

Basic information and contact details for RPTU University Kaiserslautern-Landau

The RPTU University Kaiserslautern-Landau was founded in 1970 and is the sole technology and natural sciences university in the state of Rheinland-Pfalz, Germany. 

The university is research based and students can select to study from more than 100 courses of studies across twelve departments. 

It was initially part of the University of Trier but became independent after separation in 1975. Key areas of focus for the university are technology related areas, including: electrotechnology, electrical and computer engineering, and computer Science. 

Industrial placements and opportunities for international studies guarantees academic training that is closely linked to the reality of business practice. 

The university’s campus is located on the edge of the world-famous UNESCO Biosphere Reserve Palatinate Forest characterised by chestnut trees, pine forests, imposing sandstone cliffs and home to lynxes, wildcats and peregrine falcons. The forest is the largest single woodland space in Germany.

The university boasts a sports hall, which includes facilities for badminton, volleyball and table tennis, while students can run, play hockey, basketball and football in the accompanying sports grounds. 

The university often hosts specialist congresses, conferences, concerts, exhibitions, the university ball, and an annual summer festival drawing in thousands of students and visitors. 

The university works with renowned research facilities including the German Research Centre for Artificial Intelligence and the Max-Planck Institute for Software Systems to benefit their students after graduation.  

Many alumni go on to work within technology, including Friedemann Mattern, scientist and developer of the vector clock algorithm.

On January 1st, 2023, Technische Universität Kaiserslautern and the Landau site of the former University of Koblenz-Landau merged to form the University of Kaiserslautern-Landau (RPTU).

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Key Student Statistics

A breakdown of student statistics at RPTU University Kaiserslautern-Landau

gender ratio
Student gender ratio
49 F : 51 M (1)
globe fill
International student percentage
14% (1)
student per staff
Students per staff
22.4 (1)
student
Student total
10796 (1)

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

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Based in IPAS and the College of Science at the City East Full-time (1.0 FTE), 18 months fixed term contract Salary range: $114,151 - $128,065 per annum plus 17% superannuation At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters Working with a high degree of autonomy, the Project Manager will provide specialised project management support to research teams within the Institute for Photonics and Advanced Sensing (IPAS), partnering closely with researchers to deliver industry, government and defence-funded research projects. 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institution

RMIT University

Australia, Melbourne


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AUT University - Auckland University of Technology

New Zealand, Auckland

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AUT University - Auckland University of Technology

New Zealand, Auckland


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Salary

NZD $180,000 - $245,000 per annum

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University Assistant Predoctoral - PhD position in Probabilistic and Interactive Machine Learning

UNIVERSITY OF VIENNA

University of Vienna

Austria, Vienna Danubepier Hov

institution

University of Vienna

Austria, Vienna Danubepier Hov


The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? To strengthen our team, we are seeking a university assistant to develop advanced machine learning and artificial intelligence methods. University assistant predoctoral - PhD position in Probabilistic and Interactive Machine Learning 39 Faculty of Computer Science Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 5376 Your personal sphere of influence: The working group “Probabilistic and Interactive Machine Learning” within the research group “Data Mining and Machine Learning” at the Faculty of Computer Science, led by Prof. Sebastian Tschiatschek, develops foundational methods in machine learning and artificial intelligence. We focus particularly on the areas of reinforcement learning, interactive learning, and deep probabilistic models. While modern reinforcement learning (RL) has achieved remarkable success, it remains limited when applied to complex, open-ended, or poorly defined environments. Two of the most critical bottlenecks in contemporary AI are sample inefficiency, often caused by the lack of intelligent, structured exploration, and the "reward engineering" problem, where designing an explicit scalar reward function that captures desired behavior is incredibly difficult or impossible. 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Excellent command of English Outstanding written and oral communication skills Strong ability to collaborate within research teams Perseverance and a proven ability to bring projects to reliable completion High motivation and commitment to scientific excellence Willingness to travel, including participation in national and international conferences Solid knowledge of machine learning and artificial intelligence (in particular in the areas of bandits and reinforcement learning) Strong programming skills, preferably in Python. Experience with deep learning frameworks such as Jax, PyTorch, or TensorFlow. Excellent analytical skills and strong interest in developing a deep understanding of algorithms and methods Cooperative, team-oriented, and proactive working style The following are also desirable: Experience with research methods in the field of machine learning and artificial intelligence, as well as scientific writing Excellent academic record, ideally with initial research results in the area of the position, documented by publications or manuscripts in preparation Experience in university teaching International experience What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.  Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Tenure: The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. It is that easy to apply: Academic curriculum vitae  Letter of motivation including your project ideas (and description of your teaching experience, if available) Abstract of Master´s Thesis Degree certificates Transcript of records List of publications, evidence of teaching experience (if available) If you have any questions, please contact: Sebastian Tschiatschek sebastian.tschiatschek@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 06/06/2026 Prae Doc

Salary

The basic salary of EUR 3.776,10 (on a full-time basis)

Posted

28 May 2026

Post-Doctoral Associate in the Division of Social Science (Data Science) - Dr. Bedoor AlShebli

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description We are seeking Post-Doctoral Associates who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer Science, or Information Science, with no more than five years post receipt of the PhD. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity are essential. Selected candidates will spend half their time on collaborative research with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD, and half their time on independent research. The selected candidate will receive an appointment for three years. The position provides salary higher than internationally competitive rates for Post-Doctoral / Research Engineering / Research Associate positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax. Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a research statement highlighting past and current research experience, transcript and at least two reference letters, all in PDF format. If you have any questions, please email: Bedoor AlShebli bedoor@nyu.edu. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD

Salary

Competitive

Posted

29 May 2026

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Subjects Taught at RPTU University Kaiserslautern-Landau

See below for a range of subjects taught at RPTU University Kaiserslautern-Landau

Arts and Humanities

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

Business and Economics

  • Business and Management

Computer Science

  • Computer Science

Education Studies

  • Education

Engineering

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

Life Sciences

  • Biological Sciences

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