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Polytechnic University of Bucharest

Ranked
sdgs/sdg overall
Sustainability Impact Rated
Bucuresti, Romania
1501+ in World University Rankings 2026
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About Polytechnic University of Bucharest

Basic information and contact details for Polytechnic University of Bucharest

institution

Often described as the "oldest and most prestigious engineering school in Romania", Politehnica University of Bucharest was founded in 1818. It started off as the School of Philosophy, Mathematical Science and Surveying Engineering. After a number of name changes the designation "Polytechnic" appeared for the first time in 1920. After becoming the Polytechnic Institute of Bucharest in 1948, it took its current title in 1992. With more than 30,000 students it is the largest technical university in the Romanian capital, with a mission to "Produce knowledge through scientific research and to apply theoretical and practical knowledge in the professional training of students, with the aim of initiating them into their chosen field". The largest of the 15 faculties in terms of student intake are electrical, telecommunications and information technology; automotive and computer engineering and industrial and robotic engineering. The faculties are spread across three campuses. Located in a district increasingly occupied by technology-led corporations, the main campus hosts 11 faculties, has its own metro station and from 2020 will have an Ibis Hotel next to the main entrance. There are also plans for a new building for the faculties of applied chemical and materials engineering; aerospace engineering and medical engineering enabled by a €25million grant from the European Investment Bank. This is the first such award by the bank to a Romanian university and a triumph for the university's "European Funds Department" set up in 2015. 

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Key Student Statistics

A breakdown of student statistics at Polytechnic University of Bucharest

gender ratio
Student gender ratio
41 F : 59 M (1)
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International student percentage
1% (1)
student per staff
Students per staff
22.3 (1)
student
Student total
37048 (1)

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

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Payroll Team Leader

UNIVERSITY OF SURREY

University of Surrey

United Kingdom, Guildford

institution

University of Surrey

United Kingdom, Guildford


An opening for a Payroll Team Leader at the University of Surrey, to manage and provide professional advice on payroll matters and issues within the context of university policies, statutory legislation and procedures. Role & Responsibilities Here at the University you will be responsible for the day-to-day management of the Payroll team, ensuring a high level, timely and efficient payroll advisory and operational support service to management, staff and external agencies. Other key responsibilities include: Deliver the payroll service across the University and subsidiaries, in the most cost effective and efficient way whilst meeting the needs of the University, in compliance with University policies, statutory guidance and procedures at all times. Provide specialist advice and guidance on payroll matters, procedures and best practice to senior management and employees. Manage and oversee the payroll team, providing leadership, coaching and development as appropriate, including establishing workloads, prioritising work, monitoring performance and ensuring all deadlines are met in a timely and efficient manner. To be responsible for ensuring that changes in payroll legislation, University policies and conditions of service are interpreted and implemented correctly and in a timely and efficient manner. This includes identifying the impact of changes in payroll legislation and university policies and contributing to the necessary changes to practice and policy at the University, as and when required in a timely and efficient manner. Produce and reconcile all year end data and ensuring all returns are made to the relevant bodies by the statutory deadlines. To work as a subject matter expert on projects alongside, or instead of, the payroll manager for which the specialist nature of this role provides essential and relevant expertise. What’s in it for you? We think Surrey is an amazing place to work, and we are carefully crafting a dynamic, flexible, and fun place to work and thrive. Our campus is a beautiful, leafy environment with carefully designed gardens, vibrant green playing fields, and a picturesque lake. With the buzz of student life and superb working facilities, the University of Surrey is a global community of ideas and people, dedicated to life-changing education and research in an inspiring, innovative and diverse environment. Alongside our gorgeous campus setting, collegiate on-site atmosphere and plentiful development opportunities, we also offer: Competitive Salary Annual Incremental Pay Rise Market leading Pension 25 Days annual leave + 7 University Days + Bank Holidays Travel & Family benefits including subsidised rail fare, cycle to work scheme and on-site childcare Access to on site world-class leisure facilities at discounted rates On-site parking, cafes, restaurants and coffee shops How to Apply For more information or to be considered for the role, please apply via the University of Surrey Website. The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities. Further details Job Description

Salary

£37,694 to £46,049 per annum

Posted

25 Dec 2025

Post-Doctoral Associate in the Division of Social Science

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 inviting applications for a Postdoctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in sociology, social psychology, computational social science, computer science, information science, data science, or a closely related field. The appointment will begin September 1, 2026, subject to final budget approval and is available for up to three years. The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professors Mario D. Molina, Minsu Park, and Blaine Robbins. The collaborative research will be large-scale analyses of digital traces (e.g., Yelp, Airbnb, Stack Exchange) and virtual lab experiments to study how ingroup favoritism and group boundaries coevolve in multiplex communities; how attribute- and opinion-based cues shape insider/outsider categorization, intergroup relations, and social cohesion; and how to design interventions that promote inclusivity, fairness, and productive discourse online. We seek a candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal candidate will have a strong interest in applying these tools to questions of group formation, intergroup relations, and the distribution of resources on online platforms. This is an excellent position for a computational social scientist or a computer/data scientist eager to transition into the social sciences. The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and 70 faculty in the Division of Social Science. For consideration, applicants must submit a cover letter, a curriculum vitae with a complete list of publications, a statement of research interests, two letters of reference, transcript and one writing sample, all in PDF format. If you have any questions, please email the Principal Investigators: Professors Mario D. Molina (mdmolina@nyu.edu), Minsu Park (mp5500@nyu.edu), and Blaine Robbins (bgr3@nyu.edu). Applications will be accepted until November 15, 2025. About NYU Abu Dhabi NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply

Salary

Competitive

Posted

26 Dec 2025

Post-Doctoral Associate in the Division of Engineering - Dr. Farah Shamout

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 The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare; Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA); Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; Assist the supervisor in the preparation of grant applications (as appropriate); And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Training & professional development Attend trainings and workshops for career development; Mentor PhD students and undergraduate research assistants (as appropriate); Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee; Gain experience in applying for local research grants (subject to eligibility); And transition to independence to pursue a career of choosing following the appointment. * The researcher will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Doctoral research conducted in the area of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), and three letters of reference, and a transcript, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Salary

Competitive

Posted

26 Dec 2025

Non-Tenure Track Clinical Assistant Professor in Internal Medicine

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 533899 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Professoriate Staff Applications are invited for appointment as Non-Tenure Track Clinical Assistant Professor in Internal Medicine in the Department of Medicine, School of Clinical Medicine (Ref.: 533899), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a medical qualification registrable with the Medical Council of Hong Kong, and a higher professional qualification of Specialty Fellowship of the relevant Hong Kong College under the Hong Kong Academy of Medicine or equivalent. They should have demonstrated accomplishment in teaching of medical undergraduates, and organization and development of undergraduate and postgraduate programmes. Those with an established research record, substantial achievements in research publications and a track record of successful grant applications would have an advantage. They should also have extensive experience in managing patients with acute and chronic medical problems in internal medicine. The appointee is expected to supervise junior doctors; deliver clinical service and patient care at the University’s teaching hospitals; participate in the planning and delivery of undergraduate and postgraduate programmes; conduct research; and contribute to administrative duties in the Department, Hospitals and Faculty. Direct communication with patients is required and the languages employed are English, Cantonese and Putonghua. Information about the Department can be obtained at https://medic.hku.hk/. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual 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, totalling up to 15% of basic salary. A monthly cash allowance will be offered to the successful candidate. Housing benefits will also be provided as applicable. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V., and at least 3 reference letters. Review of applications will start from January 7, 2026 and continue until March 23, 2026, or until the post is filled, whichever is earlier.

Salary

Competitive Salary

Posted

26 Dec 2025

Research Assistant in the Division of Engineering - Dr. Farah Shamout

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 The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Research Assistant to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Research Assistant will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML for healthcare; Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Currently has or is in the process of completing a bachelor’s or master’s degree from a recognized institution Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field Demonstrable research experience involving data pre-processing and preparation for machine learning models Demonstrable research experience in conducting experiments for training and evaluating deep neural networks Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Bachelor’s/ Master’s thesis conducted in the area of machine learning for healthcare and related topics First-author peer-reviewed published papers (or under review) Evidence of leadership and service activities in the academic domain For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), and three letters of reference, and a transcript, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Salary

Competitive

Posted

26 Dec 2025

Subjects Taught at Polytechnic University of Bucharest

See below for a range of subjects taught at Polytechnic University of Bucharest

Arts and Humanities

  • 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

  • Other Health

Physical Sciences

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

Psychology

  • Psychology

Social Sciences

  • Communication and Media Studies
  • Sociology