University of New Orleans

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 60 Centre for Teacher Education Startdate: 01.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 14.06.2030 Reference no.: 5522 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! Your personal sphere of influence: The advertised position is located at the Center for Teacher Education and situated within the field of School Pedagogy, with a focus on secondary level education. As a University Assistant Praedoc, you will join the research team led by Prof. Nele Kampa Your future tasks: You actively participate in research, teaching & administration, which means: Development and expansion of an independent research profile Participation in a research project on pre-service teachers who work in schools Working on your dissertation and its completion Contribution to research, teaching, and institutional administration Student supervision Independent delivery of courses in accordance with collective agreement regulations This is part of your personality: Completed master’s or diploma degree in teacher education, pedagogy/education, educational sciences, empirical educational research, or related disciplines with a focus on education (e.g., psychology or sociology). Initial experience in academic writing Basic knowledge of quantitative research methods (e.g., R, MPlus, JASP) Excellent written and verbal communication skills in German Very good proficiency in English, both spoken and written Proficiency in IT applications Ability to work effectively in a team Knowledge of university processes and structures Didactic skills Basic knowledge of qualitative methods. What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! Duration of contract: The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. It is that easy to apply: With your scientific curriculum vitae / letter of intent With your summary of research interests / ideas for a prospective doctoral project proposal (max. X p.) Master Degree / Diploma Via our  job portal / Apply now - button If you have any questions, please contact: Nele Kampa nele.kampa@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 06/03/2026 Prae Doc

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: Associate Professor of Teaching / Assistant Professor of Teaching Department of Management (Post Ref.: 26/32) The Department of Management (http://www.LN.edu.hk/mgt/) is one of the constituent departments that contribute to the undergraduate programme of Bachelor of Business Administration (Hons) degree. The Department offers a variety of courses in Management and aims to equip students with the knowledge, skills, and qualifications to meet the needs of a thriving business centre like Hong Kong. The primary responsibilities of the appointee include teaching and supporting the University’s educational mission. The appointee is expected to teach a variety of core and elective courses, develop new programmes, courses, teaching methods and procedures to enhance students’ learning. Additionally, appointee is encouraged to apply for teaching grants, organize knowledge transfer activities, and take responsibility for facilitating such initiatives. Candidates with advanced qualifications and more extensive experience may be considered for higher-level appointments. General Requirements For appointment as Associate Professor of Teaching / Assistant Professor of Teaching, candidates should have a doctoral degree in the relevant discipline, with a distinguished teaching record with professional recognition through leadership in the field of education, and should commit to teaching excellence, curriculum development, programme coordination, promotion and management, student advising and mentoring. 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 normally be made on a fixed-term contract of up to three years. Application Procedure (online application only) Please click Apply Now to submit your application. Applicants should provide a CV and information about their work experience, qualifications, research interests and achievements. A statement of their publications and of any works in progress currently under review are required. Applicants should 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 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.

The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Mathematical Foundations of Computing Candidates must hold a Ph.D. in this field or a closely related field and have a strong background in research. Relevant international experience is an advantage. The successful candidate will become part of an international network of universities and research institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach undergraduate courses in the Computer Science (CSE) program and possibly a sibling program dedicated to Artificial Intelligence (AI), as well as graduate courses in the Computer Science (MCS). The expected workload for the in-class lecture conduct is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes). Teaching should reflect current research methods and results, comprising lectures on two to four modules from the following areas: Calculus Algebra Discrete Mathematics Statistics Theoretical Computer Science Applied Maths for CS Mathematical foundations of Machine Learning The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may require conducting relevant laboratory activities and/or advising student projects. The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring Ph.D. students. Research Responsibilities As a faculty member of a research-oriented university, the successful candidate is expected to significantly contribute to VGU's scientific profile through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in one or several of the following fields: optimization (including lost/cost functions, stochastics), statistics (including Bayes' theorem, sampling, cross-entropy loss), computational complexity & automata theory (including advanced algorithms, formal methods), and foundations of machine learning (including linear algebra and calculus). The ability to apply and generate externally funded research projects is highly desirable. Administrative responsibilities The successful candidate is expected to contribute to the development of the Computer Science Program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university, namely Frankfurt University of Applied Sciences. She or he is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a Ph.D. in Applied Mathematics, Mathematics, Statistics, Computer Science, Engineering or a closely related field, preferably from a well-known international university. Those in the final stages of their doctoral studies may also be considered, provided they demonstrate exceptional promise. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology. Other requirements include: An outstanding academic record with a focus on derivatives & gradients, linear transformations, lost/cost functions, stochastics, computational complexity, logic, graph theory or other areas closely related to it Proven expertise in techniques for descriptive statistics, vectors & matrices and combinatorics Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area Proven teaching experience with strong self-motivation combined with a passion for teaching and research  Experience in industry is of advantage Proven excellent English proficiency: Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above. Employment benefits The successful candidate will integrate himself/herself into an initiative on AI research and several interdisciplinary research groups at VGU. He/she enjoys access to state-of-the-art laboratories. VGU is currently acquiring powerful AI servers, workstations and data storage to enable long-term research. VGU provides institutional research grants of up to 350 million VND per project and offers financial support for faculty to attend national and international conferences and publish their research. VGU's partnerships with German universities provide lecturers with funding opportunities for research and academic exchange. VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students. Further information, e.g. regarding the appointment procedure, the competitive salary and research activities can be downloaded here. Application                                                                                                To apply please send your application (with the following documents in one PDF max. size: 5 MB) to academicpositions@vgu.edu.vn with subject line "Mathematical Foundations of Computing_[Your Name]" Your application should include: Form for basic information (Please download here, complete this form electronically and submit it together with your application) A cover letter stating your interest in joining VGU Curriculum Vitae (including list of publications) Scans of university degrees, university transcripts and other relevant certificates Scans of language certificates (if available, highly appreciated) References illustrating your professional and academic career, including contact details of references (if available, highly appreciated) Evaluation results for teaching (if available) All applications will be reviewed and evaluated by VGU's international Application Review Team. For further information, please contact: Program Academic Director at rschorr@fb2.fra-uas.de and/or Program Academic Coordinator at son.ll@vgu.edu.vn About us The Vietnamese-German University (VGU) is a state university in Vietnam. Founded in 2008, VGU is a joint venture based on close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region. VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures. As part of VGU's ongoing commitment to gender equity, the university is actively seeking to enhance the representation of women in research and teaching roles. VGU therefore strongly encourages applications from qualified female lecturers who wish to contribute to the academic community.