King Danylo University
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Lecturer / Associate Professor / Professor in Data Science, Machine Learning & Operations Research
Hainan Bielefeld University Of Applied Sciences (Biuh)
China
Hainan Bielefeld University Of Applied Sciences (Biuh)
China
The Hainan Bielefeld University of Applied Sciences (BiUH) is the first international independent university in the Hainan Free Trade Port. Our approach combines theory and practice following the renowned "Work-Integrated University-Industry Collaborative Talent Training Model." We offer cutting-edge programs in high-demand fields: Digital Technologies, Computer Science, Logistics Engineering, Industrial Engineering, Mechatronics and Automation, Software Engineering and Business Administration. Our students benefit from small classes, English-language instruction with accompanying German courses, and intensive learning experiences. The focus is on mastering real-world professional challenges, enabling students to apply their knowledge immediately and preparing them optimally for the global job market. We combine international teaching standards with the unique opportunities that Hainan offers. BiUH is located in the Yangpu Economic Zone in Danzhou, a historic coastal city with direct high-speed rail connections to Haikou and Sanya. We invite passionate educators and researchers at all career stages, from early-career lecturers to established professors, to join our team. Both full-time and part-time positions are available for those committed to application-oriented education. Job Responsibilities Teach and assess at least 3 courses in the following subjects: Data Analytics & Machine Learning Operations Research Business Intelligence Programming 1 (Python) Databases Develop course materials and curricula aligned with international standards and industry needs. Supervise student projects and internships in data science and related fields. Engage in applied research and publish in peer-reviewed journals. Collaborate with industry partners for consulting projects and practical student training. Job Qualifications Master's degree or above in Artificial Intelligence, Data Science, Management Science, Computer Science or closely related field. Strong foundation in AI, machine learning and operations research. Industry experience in data science, AI development or analytics consulting strongly preferred. Ability to work effectively in an international and multicultural environment. Excellent communication skills in English; Chinese language skills are a plus. Expected Onboarding Time Autumn Semester 2026 (August 2026) Salary and Benefits Competitive Salary in the Market (13th Month Salary) Allowance: Travel Allowance / Phone Allowance / High Temperature Allowance, Etc. 5 Types of Social Insurance and 1 Housing Provident Fund Commercial insurance Transitional Apartments Arrangement Working environment that is open to the world and strongly oriented towards sustainability, diversity and internationality How to apply Please prepare the following documents: Current English CV (including full publication list) Cover Letter (addressed to the President) 2 Reference Letters Teaching Qualification Documents, Qualifications (if available) Documents certifying the professor's (if available) Academic Degree Certificates Please import all files into one PDF Please name the PDF as "Position - Your Name" Please send all files to recruitment@hibiuh.edu.cn
Salary
Competitive Salary in the Market
Posted
1 Jun 2026
Lecturer in Mathematical Foundations of Computing
Vietnamese-German University
Vietnam
Vietnamese-German University
Vietnam
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.
Salary
Competitive salary
Posted
1 Jun 2026
Lecturer in Biomedical Science and Immunology
Liverpool John Moores University (LJMU)
United Kingdom, Liverpool
Liverpool John Moores University (LJMU)
United Kingdom, Liverpool
Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. The School of Pharmacy and Biomolecular Sciences is at the forefront of higher education in Biomedical Science, Forensic Science, Pharmacy and related areas, and has excellent working relationships with NHS, industry, law enforcement agencies and pharmaceutical providers. We are looking for a highly professional, enthusiastic and committed individual to join our team in Biomedical Sciences, with a specific interest in Immunology. You would have expertise in the immunological basis of disease and its investigation. You will have a PhD in Biomedical Science, Immunology or related area, together with research and teaching experience in the immune basis of disease and its investigation. You will be expected to contribute to teaching and administration of the School’s Foundation, BSc and MSc Biomedical Science programmes, in addition to teaching on other relevant undergraduate and postgraduate programmes in the school. You will complement existing research/teaching activities in the above areas within the school. You will be encouraged to develop your own research in conjunction with other members of the school, utilising the world-class research facilities available in the Life Science Building as well as in the James Parsons Building. In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family-friendly policies. This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do. If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. Informal enquiries can be made to Dr Garry McDowell g.mcdowell@ljmu.ac.uk LJMU is an equal opportunities employer and welcomes applicants from all backgrounds and communities irrespective of age, transgender status, disability, gender, sexual orientation, ethnicity and religion or belief. All our appointments are made on merit. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.
Salary
£38,784 - £46,049 per annum
Posted
1 Jun 2026
Postdoctoral Research Associate, Department of Mathematical Sciences
Durham University
United Kingdom, Durham
Durham University
United Kingdom, Durham
The Role and Department The Department is one of the UK's leading Mathematics departments with an outstanding reputation in teaching, research, and employability of our students. It has an active programme of internationally recognized research in Pure Mathematics, Applied Mathematics, Statistics and Probability. The research culture is vibrant, with many visitors, seminars, international conferences, and workshops. We aim to provide a supportive and friendly environment with a strong sense of community. The Department currently has 116 permanent members of staff, following a process of significant growth. The Department holds an Athena SWAN Silver award. Athena SWAN is a national initiative that recognises the advancement of gender equality, representation, progression, and success for all in academia. The Department also supports the London Mathematical Society Good Practice Scheme, whose aim is to support mathematics departments to embed equal opportunities for women within their working practices. Durham University is committed to the Concordat to support the career development of researchers. For further information please visit the Research Staff web pages on Applications are invited for a Postdoctoral Research Associate in Mathematics , with a focus on probability. The successful applicant will have demonstrated expertise in probability, statistical mechanics, and/or mathematical physics. The position is funded by an EPSRC NIA grant held by Dr. Tyler Helmuth. The successful applicant will be expected to conduct and disseminate research in collaboration with the PI, and to develop and contribute their own research ideas and experience to the project.
Salary
£38,784 per annum
Posted
30 May 2026
Senior / Research Fellow (Land Reclamation) - HJH3
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Schemes of Service: Research Division: Engineering Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. To provide technical and operational leadership in the development, execution, and translation of sustainable geomaterials for land reclamation under an industry-collaborative research programme, working under the strategic direction of the Principal Investigator (PI) to ensure successful delivery from laboratory research to pilot and field implementation. Key responsibilities include: Support the PI in the planning, execution, and delivery of the research project, including leading day-to-day technical activities to ensure milestones and deliverables are achieved within timeline and budget. Provide technical leadership in the development of carbonation-engineered geomaterials (e.g. demolition fines, incineration bottom ash) for reclamation applications, aligned with the research direction set by the PI. Design and oversee experimental programmes, including laboratory testing, pilot-scale trials, and field validation, ensuring technical rigour and relevance to industry application. Translate research findings into engineering solutions, including material specifications, performance frameworks, and implementation methodologies suitable for industry adoption. Lead the scale-up of laboratory processes (e.g. aqueous carbonation) to prototype and pilot systems, including system design, optimisation, and operational considerations. Supervise and mentor research staff (RFs, REs, RAs), including task allocation, technical guidance, and monitoring of progress to ensure effective team delivery. Coordinate with industry partners and vendors on technical matters, including trials, material supply, equipment development, and site implementation. Identify and resolve complex technical challenges related to material variability, process scalability, and environmental compliance. Oversee environmental performance assessment, including leachate testing and alignment with regulatory requirements for reclamation use. Prepare and contribute to technical reports, journal publications, and presentations for stakeholders, funding agencies, and dissemination. Support the PI in identifying new research opportunities, contributing to proposal development, and strengthening industry engagement. Co-supervise undergraduate, Industrial Master and Doctoral students in alignment with project objectives. Ensure compliance with Work, Safety and Health (WSH) regulations, including maintaining risk assessments and safe laboratory and field practices. Job Requirements PhD in Civil Engineering, Geotechnical Engineering, or a related discipline, with at least 10 years of relevant industry or research experience; or Bachelor’s or Master’s degree with at least 15 years of relevant industry or research experience. Demonstrated experience in leading technical components of research or engineering projects and supervising junior staff. Experience in experimental programme design, laboratory and/or field testing, and data-driven engineering evaluation. Familiarity with material treatment or processing methods (e.g. stabilisation, carbonation, or related technologies) will be advantageous. Experience in industry collaboration, pilot-scale implementation, or technology translation will be advantageous. Experience in reclamation or ground improvement will be advantageous. Knowledge of environmental assessment and leachate testing for construction materials will be an advantage. Key Competencies Strong technical leadership and mentoring capability Advanced problem-solving ability in complex engineering environments Ability to translate research into practical and scalable engineering solutions Strong project coordination and delivery skills Effective communication with multidisciplinary teams and industry stakeholders High level of ownership, initiative, and accountability Adaptability across laboratory, pilot-scale, and field environments
Salary
Competitive
Posted
1 Jun 2026
Subjects Taught at King Danylo University
See below for a range of subjects taught at King Danylo University
Arts and Humanities
- Architecture
- Art, Performing Art and Design
- Languages, Literature and Linguistics
Business and Economics
- Accounting and Finance
- Business and Management
- Economics and Econometrics
Computer Science
- Computer Science
Engineering
- Civil Engineering
Law
- Law
Psychology
- Psychology
Social Sciences
- Communication and Media Studies