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Universidade Federal do Vale do São Francisco

Ranked
Petrolina, Brazil
1501+ in World University Rankings 2023
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About Universidade Federal do Vale do São Francisco

Basic information and contact details for Universidade Federal do Vale do São Francisco

institution

The Universidade Federal do Vale do São Francisco has campuses across Pernambuco, Bahia and PiauÍ in Brazil with the main headquarters of the university located in Petrolina. The institute was created in 2002.

From 2015 its medical school has become known as a teaching hospital in Petrolina, the Hospital Universitário da Universidade Federal do Vale do São Francisco.

The university offers over 30 courses spanning across administration, public administration, anthropology, archaeology and heritage preservation, visual arts, computer science, biological sciences, natural sciences and social sciences among others.

Rankings

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Key Student Statistics

A breakdown of student statistics at Universidade Federal do Vale do São Francisco

gender ratio
Student gender ratio
49 F : 51 M (1)
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International student percentage
0% (1)
student per staff
Students per staff
11 (1)
student
Student total
6395 (1)

Based on data collected for the (1) World University Rankings 2023

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Post-Doctoral Associate in the Division of Engineering - Dr. Elisabetta Cherchi

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 Sustainable and Innovative Transport Demand (SIT-D) at New York University Abu Dhabi (NYUAD) is seeking a postdoctoral associate to conduct studies on the use of Immersive Virtual Reality to elicit users’ preferences for innovative transport systems. Applicants with a background in behavioral analysis and mathematical modelling are encouraged to apply. Terms of employment include competitive salary and benefits. Research in the SIT-D lab focuses on understanding and modelling consumers' behavior and decision process for sustainable transport modes and transport innovations. Research is interdisciplinary involving behavioral economics, psychology, neuroscience, computer science applied to the transport domain. Responsibilities of the position include building experiments to understand user’s decision process for innovation, collecting neurophysiological and other relevant data, programming and analysis routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD degree or equivalent in a field related to behavioral analysis and mathematical modelling and demonstrated experience with neurophysiological measurements, as well as data collections and field experiments. Knowledge of Unity platform or Unreal Engine is desirable. Organizational skills and attention to detail are essential. Applications will be accepted immediately. To be considered, all applicants must submit a cover letter/statement of research interests, a resume, and contact information for at least two references. The terms of employment are competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, research statement and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email Prof. Elisabetta Cherchi at Elisabetta.Cherchi@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/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Salary

Competitive

Posted

2 Jan 2026

Post-Doctoral Associate in the Division of Social Science (SSEL) - Dr. Andrzej Baranski

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 Social Science Experimental Laboratory (SSEL) at New York University Abu Dhabi invites applications for a Post-doctoral Researcher position. We seek an ambitious, well-trained, and collaborative scholar with a PhD in economics or a related field. Candidates must have expertise in experimental methods and prior experience conducting social science experiments (lab, lab-in-the-field, online, and/or field). Researchers working at the intersection of experiments and other methods (theory, empirical) as well those studying human behavior and artificial intelligence are especially encouraged to apply. The successful candidate is expected to: Conduct and publish research in leading journals in social science or interdisciplinary outlets. Collaborate with SSEL board members and affiliated faculty. Contribute to the smooth operation of the laboratory. Participate in the academic activities of the division. This position does not include teaching duties and the SSEL provides financial support for travel and research. The successful applicant will join a vibrant community of economists, sociologists, and political scientists conducting cutting-edge experimental research on human behavior. The Social Science division holds active seminar series, as well as workshops and events year round. The SSEL also maintains close ties with the Center for Behavioral Institutional Design (CBID), thereby offering many opportunities for collaboration, idea exchange, and research visibility. The position offers a highly competitive salary, generous benefits (including housing, transportation, travel allowances, and educational subsidies for children), and full health insurance and retirement contributions. The UAE does not levy income tax. Appointments are for two years, renewable for at least one additional year subject to satisfactory performance. For questions please email Drs. Andrzej Baranski (a.baranski@nyu.edu) or Nikos Nikiforakis (nikos.nikiforakis@nyu.edu) Application process: Applications will be reviewed on a rolling basis until the position is filled. To apply, please submit (in PDF format): Cover letter Curriculum vitae Job market paper Transcript Research statement (highlighting research experience) At least three confidential reference letters 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.

Salary

Competitive

Posted

2 Jan 2026

University Assistant Predoctoral, Law

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? We are currently seeking a/an University assistant predoctoral 34 Faculty of Law Startdate: 01.02.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2030 Reference no.: 5048 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! The Institute for Labor and Social Law is one of Austria's leading teaching and research institutions dealing with key issues in Austrian and European labor and social law. Its wide-ranging activities in research and teaching, as well as access to a well-equipped library, enable excellent academic training and personal development. Your personal sphere of influence: As a university assistant prae doc, you will join the research team led by Univ.-Prof. MMag. Dr. Michaela Windisch-Graetz in the field of labor and social law. In addition to your independent research, you will take on tasks such as independently and supportively holding courses and exams, supervising students, and assisting with research, organizational, and administrative activities. Your future tasks: You will actively participate in research, teaching, and administration, which means: You will work on your dissertation and its completion; the conclusion of a dissertation agreement is expected within 12-18 months. You will independently hold courses in accordance with the provisions of the collective agreement. You will take on administrative tasks in research and teaching. You will participate in organizational and administrative tasks as well as evaluation measures. You will be responsible for continuing and supporting international collaborations. This is part of your personality: Completed master's/diploma degree in law Excellent knowledge of labor and social law (demonstrated, for example, by a relevant seminar paper or diploma/master's thesis) or related areas of law (in particular civil, European, and constitutional law) Particular interest in European labor and social law or the interfaces with other areas of law Initial experience in academic writing and research methods Institutional experience or experience as a student assistant in a law firm Experience in e-learning IT skills: MS Office Excellent German and English skills You are a team player with social and communication skills. What we offer: Work-life balance: Excellent work-life balance. Inspiring working environment: You will be part of an international team with outstanding research infrastructure in a relaxed working environment. Good public transport links: Your new workplace is easily accessible by public transport. Fair salary: The base salary of EUR 3,714.80 (based on full-time employment) will increase if we can take your professional experience into account. Contract duration: The contract duration for employment is 4 years. Initially limited to 1.5 years, the employment relationship will be automatically extended to 4 years if the employer does not issue a non-renewal declaration within the first 12 months. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: Applying is easy: Academic resume Letter of motivation, including research interests Proof of completed master's/diploma degree (degree certificate) List of publications (if available) Via our job portal / Apply now button If you have any questions, please contact: Michaela Windischgrätz michaela.windischgraetz@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: 01/20/2026 Prae Doc

Salary

The base salary of EUR 3,714.80 (based on full-time employment)

Posted

2 Jan 2026

Research Fellow/Assistant/Engineer, Health and Social Sciences

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Job Purpose As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff 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 industry innovation research where you will support all aspects of the project to investigate neuroplasticity and recovery of movement quality after stroke using multimodal functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT), National University of Singapore (NUS), National University Hospital (NUH), University of Glasgow (UOG), Queen Elizabeth University Hospital (QEUH), Glasgow Royal Infirmary (GRI) and Nanyang Technological University (NTU) in the areas of Neuroscience, Psychology, Movement Science and Rehabilitation. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met. Prepare data collection forms/interview questions/questionnaire and recruit and/or interview subjects. Maintain accurate records of interviews, safeguarding the confidentiality of subjects, as necessary. Perform computational modelling and analysis of the neuroimaging and behavioural data, with guidance from senior colleagues as required. Provide ready access to all experimental data for the faculty researcher and/or supervisor. Prepare materials for submission to granting agencies, foundations and Ethics Committee review. Prepare progress reports for the PI and funding agency. Prepare other articles, reports, and presentations. Coordinate and attend project meetings, monitor the project budget and work on other projects and initiatives, as required. Conduct literature reviews for publications and research briefings. Contribute to the dissemination of research findings (e.g., journal, conference, book). Support and collaborate with research assistants, graduate and undergraduate students, where applicable. Work in a team, contribute to the identification of possible funding sources and/or the planning and development of externally funded research proposals in an area relevant to the project. Perform other research-related tasks as required by the Principal Investigator. Job Requirements A good degree in relevant discipline (e.g. experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, electrical engineering, biomedical engineering, computer science, physics or related fields). A PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are welcome to apply. Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages such as SPSS, R for statistical analyses and visualisation will be an advantage. Some research and/or clinical experience/interest in the area of stroke rehabilitation or care will be an advantage. Key Competencies Good scientific writing skills with relevant publications will be an advantage. Strong ability to work within a multidisciplinary team. Experience of supporting research projects and bringing them to successful completion. Possesses sound judgment and superior decision-making and problem-solving skills. Good interpersonal, written and verbal communication skills. Able to build and maintain strong working relationships with people within and external to the university. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work. Organisation Chart The research staff will report to Assistant Professor Choo Pei Ling. Major Challenges Some parts of the work (e.g. data collection, analysis) may be held at external sites (e.g. NUS, NTU) which may require swab testing prior to entry. Candidate can expect to work at external sites and SIT Punggol campus as needed. Candidate can expect to be flexible with work hours (i.e. there may be occasions where evening or weekend work is needed).

Salary

Competitive

Posted

30 Dec 2025

Lecturer / Senior Lecturer / Associate Professor in Statistics for Omics

UNIVERSITY OF MELBOURNE

The University of Melbourne

Australia

institution

The University of Melbourne

Australia


Role type: Full-time; Continuing Faculty: Science Department/School: School of Mathematics and Statistics Salary: Level of appointment is subject to qualification and experience Level B: AUD $124,656 -$148,023 p.a. Level C: AUD $152,695 -$176,065 p.a. Level D: AUD $183,859 - $202,556 p.a. plus 17% super(retirement savings system/pension scheme) Develop innovative statistical methods for complex 'omics datasets. Apply now to join a world-class school in a leading University. Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. The University of Melbourne provides an outstanding environment in which to develop innovative research in mathematical and statistical data science, with opportunities for collaborations with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in the Melbourne Integrative Genomics research hub, optimisation researchers in the ARC Training Centre OPTIMA, biological systems modelling or quantum biotechnologies in the ARC Centres MACSYS and QUBIC, as well as applied and theoretical approaches to data science in other departments/faculties across the University.Your next career opportunity The School of Mathematics and Statistics invites applications for a Lecturer/Senior Lecturer, or Associate Professor from dynamic individuals at the forefront of 'omics technologies. The appointment will be at Level B, C, or D (Lecturer, Senior Lecturer, or Associate Professor), depending on the candidate's previous experience. The research will develop and apply statistical methods to complex 'omics data such as genomics, transcriptomics, and microbiome data, with encouragement for work in statistical machine learning. We seek a candidate whose profile complements the School's strengths in data science, including mathematics, statistics, machine learning, optimisation, biostatistics, and genomics. A strong commitment to high-quality teaching and supervision of undergraduate, MSc, and PhD research students is essential. You will be affiliated with Melbourne Integrative Genomics (MIG), a University initiative focused on pioneering statistical methods for omics data. Your responsibilities will include: Conduct Innovative Research: Lead a research programme in statistical genomics, publish in high-impact journals, and secure external funding. Deliver High-Quality Education: Develop and teach statistics and data science courses at undergraduate and postgraduate levels. Supervise Research Students: Guide MSc and PhD students in their research projects, fostering the next generation of data scientists. Engage in Interdisciplinary Collaboration: Work with researchers across the university on cutting-edge projects in bioinformatics and machine learning. You may be a great fit if: You have a strong statistics background and expertise in computational biology to establish and lead a high-level research program. You may also: Hold a PhD in statistics or a closely related discipline. Have a strong publication record in statistical learning applied to large biological datasets. Demonstrate the ability to secure research funding through competitive grant schemes. Possess excellent teaching skills and the ability to develop curriculum in data science. Have experience in supervising graduate students and fostering their academic growth. For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including: Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Progressive, considerate leave provisions to empower your work-life balance Salary packaging and access to a range of discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - "School of Mathematics and Statistics" The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline. The School of Mathematics and Statistics has a total of 90 continuing teaching and/or research staff; 37 research only staff and consultants; 19 academic specialists and 16 support staff. In 2023, there were 143 Research Higher Degree and 189 Coursework Master of Science students.The School has had 10 staff members inducted as Fellows of the Academy of Science. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued, respected, and have the opportunity to thrive regardless of gender identity, ethnicity, sexual orientation, disability, age, being a parent or having caring responsibilities. The University of Melbourne is committed to fostering a barrier-free and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates throughout the application and interview stages, including accessible document formats and alternative application methods.To discuss your specific requirements, please feel free to contact Bec Tucker - 0416 888 299 or send an email titled 'Reasonable Adjustments' to hr-careers@unimelb.edu.au.You can find more information for applicants requiring reasonable adjustments on our Careers website: https://about.unimelb.edu.au/careers Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne. For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerringIf you are a member of an Aboriginal and/or Torres Strait Islander community and would like any support, please feel free to contact our Indigenous Employment & Development team via email at oied-hr@unimelb.edu.au. Working at the University - what you need to know This role requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures. Please note: Visa sponsorship is available for this position. Join Us and unlock your career potential! Is this the perfect opportunity for you? Apply today! Including the following documents: Resume Cover Letter outlining your interest and experience The responses against the Selection Criteria^ (found in the Position Description) ^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria If you have any questions regarding the recruitment process, please feel free to contact Anna Gradoboeva via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address. If you have any particular questions regarding the job please follow the details listed on the Position Description. Applications close: 2 February 2026, 11:00 PM / Melbourne time zone. Position Description:JR-001551 Lecturer Senior Lecturer Associate Professor in Statistics for Omics_PD.pdf

Salary

$124,656 - $202,556 p.a.

Posted

1 Jan 2026

Subjects Taught at Universidade Federal do Vale do São Francisco

See below for a range of subjects taught at Universidade Federal do Vale do São Francisco

Arts and Humanities

  • Archaeology
  • Art, Performing Art and Design

Business and Economics

  • Business and Management

Computer Science

  • Computer Science

Education Studies

  • Education

Engineering

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

Life Sciences

  • Agriculture and Forestry
  • Biological Sciences
  • Sport Science
  • Veterinary Science

Medical and Health

  • Medicine and Dentistry

Physical Sciences

  • Chemistry

Psychology

  • Psychology

Social Sciences

  • Geography
  • Sociology