Overview
For Students
Teaching and Research
profile logo default

PEGASO Universita Telematica

NA, Italy
  • About
  • Rankings
  • Impact Rankings
  • Key stats
  • Jobs
  • Subjects
  • Downloads
  • FAQs
  • Suggested universities

Discover similar universities

Find out more about studying, research and jobs at these universities

the colour logo

suggested

lightbulb up

Do you work for this institution?

Make your university stand out by adding more stats, events and more.

Jobs you might be interested in

You may want to explore jobs from other universities which are relevant to you

See all

Research Assistant in the Division of Science (Computer Science) – Dr. Riyadh Baghdadi

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 Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and  distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance.  In some situations, some optimizations are harmful to performance while they are beneficial in other situations. Currently, there is no way to help users choose which optimizations should be used. Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations. The goal of this project is to add support for automatic code optimization in Tiramisu.  In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs. Candidates must hold a bachelor’s degree or equivalent in Computer Science, though a master’s degree is preferred. The ideal candidate will have Internship or experience in the areas of compilers and artificial intelligence. For consideration, applicants need to submit a cover letter, curriculum vitae, transcript, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Riyadh Baghdadi at baghdadi@nyu.edu or mrasras@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. 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. UAE Nationals are encouraged to apply. References [1] http://tiramisu-compiler.org/

Salary

Competitive

Posted

26 Dec 2025

Research Engineer (in the Area of Verification of Quantum Programs) (LSW)

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

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. The primary responsibility of this role is to deliver on a research project, funded by Singapore Ministry of Education (MOE), where you will be part of the research team to develop a scalable and comprehensive framework for formal verification of quantum programs. The framework consists of the following deliverables: Intermediate Language. We plan to develop an intermediate language to model quantum programs. The intermediate language would be complete to describe all the desired characteristics of quantum computing while at the same time simple enough to be understood by most programmers. Formal Verification Framework. We plan to develop a comprehensive framework to verify the correctness of quantum programs written in the proposed intermediate language. Mechanization. We plan to mechanize the formal framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools. Responsibilities Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: develop an intermediate language to write quantum programs. develop a comprehensive framework to verify the correctness of quantum programs written in our intermediate language. mechanize the verification framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL. develop formal methods for automatic reasoning that can be materialized into commercial tools. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Have relevant competence in the areas of formal methods (including theorem proving and model checking), quantum computing, and software analysis/verification. Have a degree in computer science, computer engineering, electrical engineering, or related areas. Possessing a Master degree will be advantageous. Knowledge of quantum circuit design and quantum program analysis/verification will be advantageous. Key Competencies 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 Show strong initiative and take ownership of work

Salary

Competitive

Posted

26 Dec 2025

Postdoctoral Fellow, LU Presidential Postdoctoral Research Fellowship Scheme

LINGNAN UNIVERSITY

Lingnan University

Hong Kong, Tuen Mun

institution

Lingnan University

Hong Kong, Tuen Mun


LU PRESIDENTIAL POSTDOCTORAL RESEARCH FELLOWSHIP SCHEME Postdoctoral Fellow (Post Ref.: 24/888) Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) 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/. We are launching the LU Presidential Postdoctoral Research Fellowship Scheme (PPRF) and invite applications from early career researchers from all over the world. Successful candidates will have the opportunity to collaborate with our academics in a supportive and dynamic research environment. The University will provide them with the resources, expertise, and mentorship to achieve their research goals. Eligibility Applicants should have obtained / been conferred a PhD degree or an equivalent qualification, and the PhD degree should have been received no more than three years prior to the start of the Fellowship. They are expected to have a good research track record and demonstrate good potential in publishing high quality papers. Duration and Requirements of the Fellowship The duration of the Fellowship will normally be three years. The appointment will normally be made on an initial contract of 1 year, and further appointment for a period of 2 years is subject to the appointee’s satisfactory performance. The appointees are required to submit applications for the RGC Junior Research Fellow Scheme (JRFS) or the JC STEM Early Career Research Fellowship for Translation and Application (JC STEM ECRF), and are encouraged to apply for other local / overseas grants or fellowship schemes. Terms and Benefits The conditions of appointment will be competitive. Remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, and incoming passage and baggage allowance for the eligible appointees. The appointees will also be provided with research funding of HK$10,000 per year to support their research activities. Application Procedure Applicants are required to contact potential supervisors at Lingnan University and submit a research proposal (as discussed/developed by the applicants in conjunction with the potential supervisors) together with their applications. In the research proposal, please also indicate the name and the department of the potential supervisor. Please click "Apply Now" to submit your application. Applicants shall 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 continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.

Salary

Competitive

Posted

26 Dec 2025

Senior Lecturer / Lecturer, Master of Science in Cross-disciplinary Technologies+, MLS, WJYSIS

LINGNAN UNIVERSITY

Lingnan University

Hong Kong, Tuen Mun

institution

Lingnan University

Hong Kong, Tuen Mun


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: Senior Lecturer/ Lecturer Master of Science in Cross-disciplinary Technologies+ Master of Liberal Sciences Wu Jieh Yee School of Interdisciplinary Studies (Post Ref.: 25/133) The Wu Jieh Yee School of Interdisciplinary Studies (WJYSIS) was established to deepen interdisciplinary studies and scholarly collaboration. WJYSIS positions at the fusion of excellence of interdisciplinary research and education. The School’s strategic areas are centred with the theme of sustainability and embraced by the fundamental engineering science and lead to smart future. WJYSIS is looking for experienced Senior Lecturer/ Lecturer who will (i) teach multiple subjects in Master of Science in Cross-disciplinary Technologies+ (MScCT+) and Master of Liberal Sciences (MLS), focusing on information systems, business and data analytics, electronic business, digital marketing and new media, smart manufacturing, artificial intelligence, etc., (ii) work on the promotions and admissions as well as the operations for MScCT+ and MLS, and (iii) contribute to other administrative duties as required by the supervisors. General Requirements Candidates should have (i) a doctoral degree in engineering, data science, computer science, business, information systems, artificial intelligence, or other relevant areas; (ii) experience in teaching relevant courses and relevant programme administrative experience; and (iii) good command of English and Chinese (including Mandarin). Candidates who possess a strong academic background but have less teaching experience, or those with lower qualifications but substantial teaching experience, will also be considered. Appointment The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and 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 made on a fixed-term contract of up to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will start immediately and continue 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

26 Dec 2025

University Assistant Predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning

UNIVERSITY OF VIENNA

University of Vienna

Austria, Vienna Danubepier Hov

institution

University of Vienna

Austria, Vienna Danubepier Hov


At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2030 Reference no.: 5037 We invite you to join the Operational Quantum Information Team (Dakić Group) to work on topics in quantum information theory and quantum technologies, with a special focus on optical quantum computing and machine learning with nonlinear mechanical systems. Your personal sphere of influence: As a university assistant (praedoc) in this 4-year position, you will be part of the Operational Quantum Information Team around Professor Borivoje Dakić. Our team is part of the Quantum Optics, Quantum Nanophysics, and Quantum Information group of the Faculty of Physics. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe, and of the Austrian Cluster of Excellence (quantA), advancing basic research in quantum sciences, aiming to expand the frontiers of knowledge and thus being the engine for future innovations. You will also benefit from being a fellow of the Vienna Doctoral School in Physics (VDSP), being part of a thriving community with more than 100 quantum scientists on premises and about 300 quantum researchers in Vienna. The Dakić group is an international team of young scientists (Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/. Your future tasks: You will actively participate in research, teaching and administration. This means: You are involved in a well-funded research project on the advertised research topics. You will present your research plan to the faculty and complete a dissertation agreement within 12–18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in time. We expect a large degree of independence paired with a high level of social awareness, as the goal will only be achieved in a team. You will contribute to teaching (lab courses, exercise classes) within the provisions of the collective bargaining agreement. You will fulfil some administrative tasks, contributing to the success and self-organization of the group in research, teaching and administration. You will continuously stay informed about the state of the art in your field. You will contribute to outreach by publications, conference presentations and public activities. This is part of your personality: We expect a strong candidate with the following requirements: You have completed your Master’s degree or Diploma in Physics, Mathematics, Computer Science or a closely related field, ideally with a strong focus on quantum computing and numerical simulations. Experience in data-reuploading quantum algorithms, optical quantum computing and quantum machine learning (highly desirable). Experience in machine-learning schemes based on arrays of nonlinearly interacting mechanical oscillators (highly desirable). Experience in programming skills (e.g. Python, Qiskit, MATLAB, C, numerical simulations). You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world in quantum information, quantum technologies and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.714,80 (full-time basis, 14x p.a.) increases if we can credit professional experience. 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. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Please send us: Your scientific curriculum vitae. A statement on your research interests for the future (motivation letter), with particular emphasis on your experience in optical quantum computing and data-reuploading algorithms, and machine-learning schemes based on arrays of nonlinearly interacting mechanical oscillators. Contact information of two referees. Your Bachelor’s and Master‘s degree certificates and transcripts. If you have any content questions, please contact: Borivoje Dakic borivoje.dakic@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 lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff 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: 01/06/2026 (MM-DD-YYYY) Prae Doc

Salary

The basic salary of EUR 3.714,80 (full-time basis, 14x p.a.)

Posted

26 Dec 2025