Aichi Gakuin University
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Associate Professor - Financial Technology
University of Bristol
India, Air Parcel Sorting Office/Mumbai
University of Bristol
India, Air Parcel Sorting Office/Mumbai
About the University of Bristol: The University of Bristol’s Mumbai campus is an innovative extension of its prestigious UK counterpart, established to promote academic excellence, global collaboration, and impactful industry engagement in one of the world’s most dynamic financial hubs. The campus offers a truly international and cross-cultural academic environment, combining the University’s rigorous academic traditions with the fast-evolving Indian and South Asian business landscape. As part of a growing global network, the Mumbai campus serves as a hub for interdisciplinary learning, applied research, and thought leadership. Faculty members enjoy access to global partnerships, collaborative research opportunities, and the ability to contribute to high-impact academic programmes that prepare students to meet the challenges of an interconnected world. Role Overview We are seeking a highly motivated and accomplishedAssociate Professor in Financial Technology to join our growing academic team at the University’s Mumbai Enterprise Campus (MEC), a flagship transnational education initiative of the University of Bristol set to open its doors in 2026, coinciding with the University’s 150th anniversary. The role will lead on curriculum and research development, mentor junior faculty, and strengthen the University’s academic reputation through teaching, innovation, high-impact research and external engagement. The role will report to the Mumbai Enterprise Campus Associate Dean and have dotted lines reporting to and collaborating with the Head of School of Mathematics Engineering and Technology in the Faculty of Science and Engineering (S&E), and other relevant University senior leaders. This senior-level position is ideal for candidates with a strong academic profile, proven research excellence, and leadership capabilities within higher education. Key Responsibilities Leadership, Culture, and Engagement Provide distinguished academic leadership and operational capacity in both teaching and research within Financial Technology fostering an environment of scholarly excellence. Represent the university at national and international academic and professional forums, enhancing its visibility and reputation. Establish and nurture strategic partnerships with industry, academic institutions, and government agencies to support research initiatives and enrich the learning environment. Contribute substantively to departmental governance, administration, and operational delivery in close collaboration with senior leadership. Develop, coordinate, and deliver advanced undergraduate and postgraduate courses Financial Technology at the interface of Fintech and AI. Mentor junior and early-career faculty members, actively participating in their professional development and performance evaluation processes. Work collaboratively with Professional Services partners to deliver delegated administrative and governance duties. Teaching Play a pivotal role in curriculum development and contextualisation, programme accreditation, programme enhancement and the maintenance of quality assurance standards within the university. Create a nurturing environment for excellence across the whole education offer. Promote innovative teaching strategies that improve student experience, transferable skills creation and employability prospects. Research Maintain a sustained record of high-quality outputs in excellent, peer-reviewed academic publications or in other recognised discipline specific channels, actively contributing to the international discourse in Financial Technology. Initiate, lead, and secure funding for research projects with significant potential to contribute to scholarly knowledge and societal advancement. Provide support for other academic disciplines and interdisciplinary opportunities within the MEC. Ensure research strengths are matched and leveraged to develop teaching excellence and integrated in MEC programme offerings. Where applicable, supervise and mentor doctoral, postgraduate, and undergraduate research projects, ensuring the highest standards of academic rigor and integrity. Essential Criteria A completed PhD in Engineering, Physics, Computer Science, Mathematicsor a closely related discipline from a recognised institution. Significant academic experience, including substantial post-PhD teaching and research achievements In the context of Fintech. Proven academic leadership experience in teaching (e.g., programme coordination, research leadership, or departmental roles) in Fintech Teaching. Demonstrated excellence in teaching, curriculum design, and academic mentorship. Strong publication record in highly ranked peer-reviewed international publications, or in recognised equivalent discipline-specific channels, and ability to contribute to the school’s strategic research ambition to address global/societal challenges of our time. Evidence of excellent organisational and administrative skills. Excellent interpersonal, communication, and collaborative leadership skills. Demonstrates a proactive approach to professional development. Desirable Criteria At least 10-12 years of academic experience post-PhD Track record of securing or leading externally funded research projects. Willingness and strong evidence to seek collaborations/engage with public, private and not-for-profit/charitable sectors. Experience supervising doctoral students For any concerns regarding your application, kindly reach out to us at careers@daskalos.com
Salary
Competitive
Posted
17 Mar 2026
Senior Lecturer / Lecturer I / Lecturer II in Conducting
Hong Kong Baptist University
Hong Kong
Hong Kong Baptist University
Hong Kong
SCHOOL OF CREATIVE ARTS ACADEMY OF MUSIC Senior Lecturer / Lecturer I / Lecturer II in Conducting (Multiple Positions) (25260436) The Academy of Music (https://mus.hkbu.edu.hk/web/) has rapidly emerged as one of the leading institutions in Hong Kong, providing a rigorous and comprehensive music curriculum. Following HKBU’s rich liberal arts tradition, the Academy fosters creativity through performance, composition, technology, research, and pedagogy. With the new Jockey Club Campus of Creativity, the Academy further expands its capacity to inspire and nurture the next generation of creative artists. The Academy is seeking a distinguished music educator and outstanding conductor for the position of Senior Lecturer / Lecturer in Conducting. Responsibilities: Rehearse and lead the instrumental or choral ensembles; Teach undergraduate and postgraduate courses in conducting and related areas; Develop networks with regional and international partners for research, performance and recruitment activities; and Collaborate across disciplines within the Academy and with colleagues across the University to further develop the Academy’s strengths in interdisciplinary research, teaching and knowledge transfer. Requirements: A doctoral degree in music or equivalent professional conducting experience; and Collegiate-level teaching and relevant professional experience. The initial appointment will be offered on a fixed-term contract of two years commencing as soon as possible. Re-appointment thereafter will be subject to performance review, mutual agreement, and availability of funding. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. Candidates should provide their teaching evaluation results for the last three years. Applicants should also request two referees to send in confidential letters of reference, with the Job Identification number quoted on the letters, to the Human Resources Office (Email: recruit@hkbu.edu.hk) direct. Those who are not invited for interview 4 months after submission of application may consider their applications unsuccessful. All application materials will be disposed of after the completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the position is filled.
Salary
Competitive
Posted
17 Mar 2026
Tutor/Senior Tutor - HEBUT
Massey University
New Zealand, Palmerston North
Massey University
New Zealand, Palmerston North
School of Mathematics and Computational Sciences Manawatū Campus - Massey University About the role The School of Mathematics and Computational Sciences is seeking a Tutor or Senior Tutor to join our team teaching at the School of International Education, Hebei University of Technology (HEBUT), China, and spending time between semesters at Massey University's Manawatū campus in Palmerston North. This is a full-time, permanent opportunity. The purpose of this role is to provide teaching input into the Computer Science, Software Engineering, and Information Technology (CSIT) disciplines, particularly undergraduate teaching for an ongoing collaborative programme between the School of Mathematics and Computational Sciences at Massey University and the School of International Education at HEBUT. The role will be based primarily at one of the HEBUT campuses in China (Langfang or Tianjin). You will be expected to be present at the HEBUT campus during teaching semesters. Up to four months of the year may be spent at Massey's Manawatū campus in Palmerston North (July - August and mid-December - February). The language of instruction will be English. In this role, you will: Prepare and present lectures, tutorials, and other classes for undergraduate and postgraduate students in programmes offered or contributed to by the School of Mathematics and Computational Sciences. Provide teaching support in classroom and laboratory sessions to other teaching staff. Utilise, introduce, and develop modern teaching methods to enhance students' learning experiences and outcomes. Assist in supervising professional projects for undergraduate students. Collaborate with staff in other academic units to ensure CSIT service courses remain relevant and of high quality. About you You will hold a postgraduate qualification relevant to computer science or a related field, along with proven ability to teach international students at university level. You will also have previous experience delivering courses at university level. You will be required to enter into a supplementary contract relating to provisions made by the University that enable you to carry out your duties in China. To be appointable to this role, you must be eligible (or currently have the legal right) to work without restriction in both New Zealand and China. More information about this can be provided on request. What's in it for you? Given the unique nature of this opportunity, additional financial assistance will be provided to help with relocation and costs incurred while travelling to and living in China. More information about this assistance can be provided on request. You will also receive: Up to 6.75% employer contribution to the UniSaver Superannuation Scheme. Five University holidays each year in addition to annual leave. A subsidised Southern Cross Healthcare plan for you and your whānau. Further enquiries Further enquiries should be directed to Professor Hans Guesgen at H.W.Guesgen@massey.ac.nz Closing date: 20 April 2026
Salary
Competitive
Posted
17 Mar 2026
Assistant Professor - Statistics
University of New South Wales
India, Bangalore
University of New South Wales
India, Bangalore
Position Description Position Title: Assistant Professor (Level B) Reports To: Professor / Rector Employment Type: Full-time Position Summary The Assistant Professor at UNSW Bengaluru is an academic role responsible for coordinating and delivering one or more undergraduate courses. This position ensures high-quality teaching, curriculum implementation, assessment integrity, and student engagement. Assistant Professors work closely with teaching teams, professional staff, and academic leadership to maintain UNSW academic standards and compliance with University Grants Commission (UGC) requirements. The role is critical to providing a consistent and exceptional student experience and contributes to building UNSW Bengaluru’s academic reputation. Accountabilities Coordinate course delivery across teaching teams, ensuring consistency and quality in content and pedagogy. Develop and maintain course materials, assessments, and learning activities aligned with approved learning outcomes. Ensure course content meets UNSW curriculum standards and UGC requirements through regular reviews and updates. Monitor student progress, provide timely feedback, and address academic challenges to support student success. Manage course administration, including timetabling, grading, and moderation of assessments. Uphold academic integrity and compliance with assessment policies, including plagiarism detection and fair assessment practices. Liaise with professional staff to coordinate course logistics and enhance the student experience. Contribute to program-level improvements through curriculum review and feedback based on course outcomes. Engage in scholarly activity relevant to the discipline and teaching practice to inform innovation in learning and assessment. Participate in academic governance, including committees, quality assurance processes, and reporting requirements. Promote inclusive teaching practices and equity, ensuring diverse student needs are met. Represent the course in academic forums and act on feedback from students and faculty to improve delivery. Ensure safe and compliant practices in all course-related activities, adhering to UNSW and local health and safety guidelines. Skills & Experience A PhD in statistics, data science or relevant mathematical sciences. Demonstrated research ability in statistics or data science. Proven commitment to proactively keeping up to date with discipline knowledge and developments. Demonstrated experience in teaching and learning design, development and delivery. Experience using and/or designing with educational technologies and online delivery methods. Evidence of teaching effectiveness and passion for educational excellence (e.g., relevant discipline-based curriculum design and development at a variety of levels and scales). Evidence of ability to support and inspire students from diverse backgrounds and support student equity, diversity and inclusion initiatives. A track record of significant involvement with the profession and/or industry. Ability to attract external research funding. High level communication skills and ability to network effectively and interact with a diverse range of students and staff. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships. Evidence of highly developed interpersonal and organisational skills An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training. Key relationships Rector – for strategic direction, performance oversight and reporting. Academic Staff – for advice and consults with on teaching delivery. UNSW Sydney Faculty – curriculum equivalence, and research collaboration. Professional Staff – including student services, admissions, and learning support for student experience and academic administration. Industry and External Partners – for collaborative projects, guest lectures, and student engagement. Regulatory Bodies – including UGC and accreditation agencies for compliance and quality assurance. For any queries related to your application, email at careers@daskalos.com.
Salary
Competitive
Posted
17 Mar 2026
University Assistant Predoctoral, Life Sciences
University of Vienna
Austria, Vienna Danubepier Hov
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 50 Faculty of Life Sciences Startdate: 01.04.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5341 There are many good reasons to want to conduct research and teach at the University of Vienna. And there is one reason why around 7,500 academic staff members have chosen this university before you: they see themselves as individuals who need the freedom and space to pursue their curiosity and their continuous ambition in order to succeed scientifically. Is that what you are looking for as well? Then we warmly welcome you to our team! Your personal sphere of influence: The research group “Neuronal Network Dynamics and Behaviour” led by Prof. Dr. Manuel Zimmer at the Department of Neuroscience and Developmental Biology, University of Vienna, invites applications for a position as University Assistant, Praedoc. We expect you to conclude your doctoral thesis agreement, including an application to one of the Universit of Vienna doctoral schools (e.g., CoBeNe, https://vds-cobene.univie.ac.at/) within 12–18 months. As a University Assistant (Praedoc), you will become part of our research team and contribute to projects investigating the neuronal mechanisms underlying the regulation of sleep in animals. We combine experimental and quantitative approaches to understand how neuronal network dynamics control state transitions and the organization of behavior. The scientific focus of our group is the investigation of large-scale neuronal network dynamics in the model organisms Caenorhabditis elegans and Danionella cerebrum. Using advanced microscopy and imaging techniques—including neuronal activity measurements across the entire brain at single-cell resolution—as well as modern methods in neuronal genetics, optogenetics, and cell biology, we aim to uncover fundamental principles of brain function. Our team currently consists of four postdoctoral researchers, twelve PhD students (Praedocs), one Senior Scientist, a Lab Manager, and administrative staff. We are characterized by a broad range of disciplinary backgrounds—from molecular biology and systems neuroscience to computational neuroscience, physics, and optics. This interdisciplinarity forms the basis of our close and collaborative working environment. We place great emphasis on team spirit, initiative, and scientific excellence at the highest international level. Your future tasks: You will actively contribute to research, teaching, and administration. This includes: Contributing to our research project investigating brain dynamics and cellular molecular mechanisms in C. elegans that underlie transitions between sleep and wake states. You will conduct quantitative behavioral analyses as well as neuronal activity measurements in freely moving animals. In combination with genetic approaches, you will characterize the molecular signaling pathways and neurotransmitters that regulate neuronal arousal states such as sleep and wakefulness. We expect you to conclude your doctoral thesis agreement within 12–18 months. Working on and completing your doctoral dissertation. Independently teaching courses in accordance with the provisions of the collective agreement. Taking on administrative responsibilities in research and teaching. This is part of your personality: Completed Master’s or Diploma degree in Biology or a related field; specialization in neurobiology is an advantage. Strong experience in scientific writing as well as in experimental and computational research methods, in particular: experimental work with C. elegans experience with modern microscopy techniques (e.g., spinning-disk confocal microscopy, light-sheet microscopy) analysis of large imaging datasets using advanced image processing and segmentation methods computational and statistical analysis of large-scale neuronal activity datasets Very good programming skills in Python (mandatory). Teaching experience and an interest in contributing to academic instruction. Excellent command of English, both written and spoken. Strong team orientation and well-developed social and communication skills. What we offer: Work-life balance: You benefit from flexible working hours and the possibility of partial remote work. Inspiring work environment: You will be part of an international team with excellent research infrastructure in a collegial and dynamic atmosphere. Excellent public transport connections: Your new workplace is easily accessible by public transportation. Internal training and coaching: We continuously offer opportunities to expand and deepen your professional skills. Fair salary: The base salary amounts to EUR 3,776.10 gross per month (full-time basis on Praedoc) and may increase depending on relevant prior professional experience. Equal opportunities: We welcome every additional personality who enriches our team. The employment duration is 4 years. Initialy 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: Please submit: Your academic CV and a letter of intent A summary of your research interests / dissertation concept Proof of completion of your Master’s or Diploma degree Applications must be submitted via our job portal using the “Apply Now” button. If you have any questions, please contact: Manuel Zimmer manuel.zimmer@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: 03/22/2026 Prae Doc
Salary
EUR 3,776.10 gross per month (full-time basis on Praedoc)
Posted
16 Mar 2026