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Sharif University of Technology

Ranked
Tehran, Iran
351–400th in World University Rankings 2026
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About Sharif University of Technology

Basic information and contact details for Sharif University of Technology

institution

Sharif University of Technology, founded in 1966, is one of the largest engineering schools in Iran. When it was established, the university had just 54 members of faculty, and 412 students. It now has more than 10,000 students.

Located in Tehran, the capital of Iran, SUT was previously known as the Aryamehr University of Industry but was renamed after former student Majid Sharif Vaghefi, who was killed in 1975.

The university, which has a reputation in Iran as being one of the country’s most prestigious higher education institutions, offers a range of graduate and postgraduate degrees in its 15 departments, and does not only offer engineering courses.

Among other non-engineering schools are its Department of Philosophy of Science, its School of Management and Economics, and its Department of Languages and Linguistics.

Each department has its own laboratories, library, and workshops, and students can choose to take humanities and social sciences courses to complement their technical studies.

Admission for undergraduates wishing to study at Sharif University of Technology is tough. Only those obtaining the top 5 per cent of scores in Iran’s national entrance examination, carried out by the country’s Ministry of Culture and Higher Education, can enroll.

SUT’s current chancellor is Mahmoud Fotouhi Firouzabad, a graduate of Sharif University of Technology who also studied at the University of Tehran and the University of Saskatchewan in Canada.

Among SUT’s famous alumni are Ali Larijani, speaker of the Iranian parliament; pianist, Peyman Yazdanian; international football’s all-time leading goalscorer Ali Daei; and Elshan Moradi, chess grandmaster.

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Key Student Statistics

A breakdown of student statistics at Sharif University of Technology

gender ratio
Student gender ratio
25 F : 75 M (1)
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International student percentage
1% (1)
student per staff
Students per staff
21.9 (1)
student
Student total
10163 (1)

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

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Post-Doctoral Associate in the Center for Interacting Urban Network - Dr. Azza Abouzied

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 invite applications for a postdoctoral position in database systems with a strong theoretical foundation. We are looking for a candidate excited by the challenge of rethinking data systems in the face of modern constraints such as optimization under uncertainty, constrained query evaluation, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by both real-world needs and formal foundations. They will work at the intersection of systems and algorithms, in collaboration with faculty, students, and external partners. Key Responsibilities Lead independent and collaborative research on topics in database systems, including constrained query evaluation, optimization, and reasoning under uncertainty. Design and analyze novel algorithms or theoretical models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions to existing open-source engines. Publish in top-tier conferences (SIGMOD, VLDB, PODS, ICDE, ICDT, etc.) and participate in the wider research community. Mentor students and contribute to a vibrant research culture at NYUAD. Participate in cross-disciplinary projects at CITIES, connecting data systems to applications in urban science, planning, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms. Strong publication record in top-tier venues. Solid background in one or more of the following: Query processing or optimization Constrained or combinatorial query evaluation Data modeling under uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping skills. Strong analytical and communication skills; ability to work both independently and collaboratively. Desirable: Familiarity with modern in-process or embedded query engines (e.g., DuckDB, SQLite, etc.) Experience working with probabilistic databases, provenance, or uncertain data Exposure to decision-making, multi-objective optimization, or declarative problem modeling Prior involvement in open-source or reproducible systems research Interest in interdisciplinary applications of data systems (e.g., urban analytics, scientific workflows) For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, degree transcript, statement of research interests, and at least two letters of reference, all in PDF format. If you have any questions, please email Azza Abouzied - aa175@nyu.edu 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/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply

Salary

Competitive

Posted

26 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

Clinical Appointment Specialist

QATAR UNIVERSITY

Qatar University

Qatar

institution

Qatar University

Qatar


General Information Job Family: Academic College/Department: QU Health. VPMHS office Supervisor: Director for clinical affairs Working Relationships Internal Relationships QU Health colleges (CMED, CDEN, CPH, CNUR, CHS) Clinical faculty Clinical appointments committee QU Health Director for Clinical Education Heads of Clinical Training for colleges External Relationships Clinical affiliates (HMC, PHCC, Sidra, Aspetar, private hospitals and clinics) External stakeholders related to clinical education and licensing Job Summary and Key Responsibilities Job Summary The Clinical Appointment Specialist is responsible for organizing and overseeing clinical appointments and faculty licensing. This position ensures smooth collaboration between QU Health and its clinical affiliates by handling faculty appointments, licensing, and QU Health Graduates’ recruitment. Moreover, the Clinical Appointment Specialist acts as a primary point of contact with external stakeholders, contributing to the effectiveness and success of clinical education programs. Responsibilities include also supporting the development of innovative evaluation tools and manages data collection, reporting, and the dissemination of information through reports and newsletters. Key Responsibilities The candidate of this position will be responsible to effectively work with multiple interfaces including colleges (departments heads, associate dean for academic affairs, and dean); colleges under the QU-Health cluster (QU-health Director for clinical education and heads of clinical training for colleges); and clinical Affiliates (mainly, but not limited to HMC; PHCC, Sidra; Aspetar, and private hospitals and clinics).  And MOPH for licensing. Roles and Responsibilities include: Clinical Appointments: Facilitate Clinical Affiliate Engagement and Streamline the Clinical Appointment Process: Act as the primary point of contact for clinical affiliates, providing comprehensive support and guidance throughout the application and recruitment process at various QU Health colleges (CMED, CDEN, CPH, CNUR, and CHS).  Offering guidance and answering questions to help applicants navigate the process successfully. Tracking the status of applications and communicating updates to applicants in a timely manner. Build and maintain strong relationships with clinical affiliates, ensuring a positive and efficient experience. Oversee the entire clinical appointment process, collaborating closely with clinical faculty to ensure a smooth and efficient application and recruitment workflow. Develop and implement standardized procedures to optimize efficiency and transparency. Conduct Thorough Application Reviews: Review applications from clinical affiliates, meticulously checking for completeness and accuracy.  Request additional details or information from applicants as needed to ensure a comprehensive evaluation. Create and maintain detailed checklists for applicants to ensure all required documentation and information are submitted for rank recommendations.  Monitor Offer Status sent by the Academic Recruitment Office: Follow up and track the status of offers sent by the Academic Recruitment Office to clinical affiliates. Monitor acceptance rates and manage appeals from applicants, ensuring timely and appropriate responses Manage Applicant Appeals: Respond to appeals from clinical appointment applicants in a timely and professional manner. Prepare comprehensive appeal cases for review by the Appeals Committee, ensuring all relevant information is presented accurately. Manage Clinical Appointments and Renewals: Manage and organize all aspects of clinical appointments and contract renewals, ensuring adherence to university policies and procedures. Maintain accurate records of appointments and renewals, tracking key dates and deadlines. Oversee Applications for Promotion: Manage and organize requests from clinical affiliates seeking promotion to a higher rank. Carefully review each application to ensure it meets all requirements and adheres to university policies and procedures. Communicate with applicants regarding their eligibility for promotion. Provide detailed explanations to those who do not meet the criteria for a higher rank, offering guidance and support for future applications. For eligible applicants, develop and maintain detailed checklists to ensure all required documentation and information is submitted for rank recommendations. Oversee Annual Appraisal Process: Manage the annual appraisal process for all clinical appointees, sending timely reminders and completeness of appraisal responses collecting feedback from colleagues and clerkship directors to verify the accuracy. Track clinical affiliates research output Systematically track the research output of clinical affiliates, ensuring that they accurately attribute their publications to QU as their affiliation and contacting affiliates as needed. Analyze the impact of clinical affiliates' publications on QU's research ranking and visibility by using tools like SciVal and Elsevier. Create and maintain a comprehensive database of clinical affiliates' research profiles and Scopus IDs for each affiliate.  Manage Clinical Teaching/Research Awards: Announce and promote clinical teaching/research awards, providing guidance and support to clinical affiliates throughout the application process.  Review applications and prepare documentation for review by the Awards Committee. Coordinate Clinical Appointment Events: Plan and execute clinical appointment events, managing logistics, invitations, and communication with VIPs.  Oversee all aspects of event preparation to ensure a successful and engaging experience for attendees. Ensure Data Accuracy and Consistency: Manage the archiving and maintain an up-to-date database for all clinical appointments, ensuring accurate and accessible records. Communicate regularly with HR after each recruitment cycle to ensure that the records of clinical affiliates are accurate and consistent across all departments and systems. Address any discrepancies promptly. Prepare Comprehensive Annual Reports: Compile and submit annual reports for the unit, including statistics on new, renewed, and non-renewed appointments, as well as achievements and contributions of clinical faculty. Analyze data and provide insights to inform decision-making. Provide Logistical Support: Offer logistical support to clinical appointees, including arranging on-campus visits, coordinating lectures, and facilitating access to necessary resources. Licensing Function of QU Faculty Members: Facilitate Licensing Applications: Provide comprehensive support to QU faculty members throughout the licensing application process and requirements. Ensuring application files are complete, accurate, and submitted on time. Acting as a liaison between faculty and the licensing authority (e.g., Department of Healthcare Professions - DHP). Troubleshooting any issues that may arise during the application process. Manage Licensing Documentation: Oversee the collection and verification of all necessary documentation for faculty licensing applications. (Academic credentials and transcripts, Professional certifications and licenses. and other relevant documents as required by the licensing authority. Process License Transfers and Renewals: Manage the timely and accurate processing of license transfers and renewals for QU faculty members. Tracking license expiration dates and initiating renewal processes in advance.  Facilitating the transfer of licenses for faculty members joining QU from other institutions or countries. Ensuring compliance with all relevant regulations and deadlines. Maintain Licensing Database: Establish and maintain a comprehensive database of all licensed QU (contact information, license type and status, expiration dates and renewal history), any other relevant information related to faculty licensure. Monitor Compliance with DHP Regulations: Monitor QU Health faculty members' clinical practice to ensure compliance with DHP regulations and maintain their clinical licensure. This may involve: Staying up to date on DHP regulations and any changes that may occur.  Providing guidance and support to faculty on licensing requirements and best practices. Conducting periodic audits of faculty clinical practice to ensure compliance. Focal Point with External Stakeholders: Assists in coordinating, supervising, and completing special projects as appropriate. Perform other tasks and duties that may be occasionally required to meet the requirements of the role and the aims of the University. Act as the primary point of contact between stakeholders (HMC, HMDAC, MOPH, PHCC, other institutions) and the health cluster. Ensure smooth communication and address any challenges or concerns that arise during clinical affiliation. Represent QU Health in HMC-HR Meetings: Serve as the primary representative for QU Health in meetings with Hamad Medical Corporation's (HMC) Human Resources department. Track and prepare agreements in line with the existing MOUs between HMC and QU, with a focus on the recruitment of QU graduates. Collaborate with HMC-HR to facilitate the recruitment of QU graduates into HMC, by sharing information about QU Health programs and graduate Tracking the hiring and onboarding of QU graduates at HMC and provide updates on the recruitment process for QU graduates at HMC. Streamlining QU faculty supervision for QU students completing clinical placements at HMC. Any other academic-related issues that may arise between QU and HMC. Qualifications Education and Certifications MSc or equivalent in health-related fields PhD degree or equivalent in health-related fields (preferred) Languages Bilingual (Arabic/English) skills preferred but not mandatory. Excellent English written and verbal communication skills. Ability to read, analyze and interpret common scientific and technical journals, financial reports, and legal documents. Experience and workshops and Job requirements Has professional and/or administrative experience in relevant settings. Has documented accomplishments in teaching, research, and service at a level to be appointed as a faculty member in one of the academic departments of the colleges. Competencies Leadership Competencies / Proficiency Level Leadership and Management Skills: Demonstrated leadership and management abilities to effectively guide and develop faculty members and support staff. Effective interactions with other colleges and departments within Qatar University and with external funding agencies and institutions. Organizational Skills: Strong organizational and time management skills. Meticulous attention to detail and accuracy. Excellent written and verbal communication skills, conveying information clearly and concisely. Communication and Interpersonal Skills: Excellent written and verbal communication skills, conveying information clearly and concisely. Strong interpersonal skills, building rapport and maintaining positive working relationships with diverse individuals. Ability to respond effectively to communications from various stakeholders, including organizations, colleges, faculty, staff, students, and external partners. Demonstrated ethical behavior, professionalism, and strong interpersonal skills to build and maintain positive working relationships. Analytical and Problem-Solving Skills: Critical Thinking: Ability to define problems, collect data, establish facts, and draw valid conclusions to solve problems and plan initiatives. Data Interpretation: Ability to interpret technical instructions, including those presented in mathematical or diagram form, and to deal with abstract and concrete variables. Knowledge and Expertise: Understanding of Qatar University's policies and procedures related to faculty appointments, clinical affiliations, and collaborations with external institutions. Behavioral Competencies / Proficiency Level Teamwork and Collaboration: Ability to work effectively both independently and as part of a team. Collaborative approach, readily sharing information and supporting colleagues. Professionalism and Work Ethic: Maintains confidentiality and handles sensitive information with discretion. Demonstrates reliability and dependability, consistently meeting deadlines and fulfilling commitments. Takes initiative and demonstrates a proactive approach to problem-solving. Technical Competencies / Proficiency Level Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, etc.)

Salary

Competitive

Posted

26 Dec 2025

ACER CoE - Post Doctoral Fellowship, Fuel Cell System R and D

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


About Mohammed VI Polytechnic University (UM6P) Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa, UM6P aims to position these fields as the forefront and become a university of international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. About ACER The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Job Description The successful candidate will: Undertake original research of international excellence. Set up of fuel cell testing plateform Support the appropriate equipment purchasing and ability to deal with international suppliers. Testing PEM fuel cell technologies Prepare papers for publication in leading journals and/or contribute to the dissemination at national/international conferences, workshops and meetings. Communicate to the research projects team the development, progress and results of research activities. Identify areas of improvement within the research structure using integrated management approaches in pursuit of capacity building/strengthening and the preservation of scientific rigor in research studies. Support if required, the development of proposals for research funding. Assist to the supervision of Ph.D. students and guide their research work. Candidate Profile Due to the multidisciplinary character of ACER CoE, the ideal candidate must have as well a multidisciplinary scientific profile: PhD degree in Electrical Science, Energy Processes or another suitable engineering discipline. Sound background in Energy systems and Fuel cell hydrogen applications. Skills in modeling & structural analysis using various existing techniques. Knowledge in advanced thermal and water management systems will be valued. Familiar with risk assessment and safe working procedures in a chemical laboratory. Excellent communication skills (oral and written) in English. Good publication track record in peer-reviewed journals. Ability to work independently and as part of a multidisciplinary and multicultural team. Candidature submission Applicants should submit: Cover letter outlining research experience, achievements and stating research interests. Curriculum Vitae. List of publications. Name and contact information of three referees who are not current UM6P faculty.

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

Subjects Taught at Sharif University of Technology

See below for a range of subjects taught at Sharif University of Technology

Arts and Humanities

  • Languages, Literature and Linguistics

Business and Economics

  • Business and Management
  • Economics and Econometrics

Computer Science

  • Computer Science

Engineering

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

Physical Sciences

  • Chemistry
  • Mathematics and Statistics
  • Physics and Astronomy