Tianjin University of Technology and Education

Ref.: 534409 Work type: Full-time Department: School of Future Media (31200) Categories: Teaching Staff Applications are invited for appointment as Senior Lecturer/Lecturer/Assistant Lecturer (several posts) in the School of Future Media (Ref.: 534409), to commence on August 1, 2026 or from as soon as possible thereafter. The appointment rank will be determined according to qualifications and experience of the successful candidate. The initial appointment will be on a two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a Master’s degree or equivalent in Media/Game Studies, Computer Sciences, Artificial Intelligence, Data Science or related fields of study, with a substantial track record of professional experience in the media industries. Proficient knowledge of digital media/AI applications/game studies is required. Experience in digital media projects with knowledge of Asia will be a definite advantage. Priority will be given to those with experience in designing and teaching professional courses at the tertiary level. Applicants with less experience may be considered for appointment as Lecturer or Assistant Lecturer. The appointees will be responsible for teaching and leading curriculum design at the undergraduate and postgraduate level in one of the following areas, as well as undertaking administrative duties at the Division level. Journalism: AI applications in journalism practices, entrepreneurship, business journalism; Documentary: video production, directing, post-production; AI Film: generative AI models, model training, AI video editing and post-production, 3D and animation integration, audience and workflow design; and Global Creative Industries: gaming and digital humanities, visual arts and museum studies, music and performing arts, visual communications.  A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary for Senior Lecturer/Lecturer and 10% for Assistant Lecturer. Housing benefits will be provided for Senior Lecturer as applicable. The University only accepts online applications for the above posts. Applicants should upload an up-to-date CV and teaching statement. Review of applications will start as soon as possible and continue until June 30, 2026, or until the position is filled, whichever is earlier.

The Centre for Organizing Social Sustainability at the University of Southern Denmark is inviting applications for the Marie Skłodowska-Curie Postdoctoral Fellowships 2026 (MSCA-PF). If you are an early career researcher with high potential and ambition, you are invited to apply for this support programme to develop your proposal in close collaboration with the centre director, Associate Professor Klarissa Lueg, who will act as supervisor in your project. About the Centre The Centre for Organizing Social Sustainability is an interdisciplinary forum for research into social cohesion in organizations and society. It is a vibrant environment gathering scholars within cultural sociology, organizational research, (intercultural) communication, diversity management, and more. Your project idea must fall within the research areas of the Centre. The Centre’s research foci include: Discourse and policies on qualified migration Migration management and intercultural communication Corporate museums and cultural heritage Cultural production (arts, music) and social changes Regional development and border regions New antisemitism, its emergence and organisation About the MSCA Postdoctoral Fellowships The MSCA-PF is one of the most prestigious schemes of the European Commission’s Horizon Europe Research & Innovation programme. It aims at enhancing the potential and career development of researchers in Europe through funding of excellent and ambitious projects, international mobility and advanced training. The grants cover the fellow’s salary, a mobility allowance, research costs and overhead for the host institution. There are two types of postdoctoral grants: European Postdoctoral Fellowships for researchers of any nationality, coming from any country in the world, applying with University of Southern Denmark as host institution. Secondments in other research or industrial organisations are possible. The standard duration is 12 to 24 months. Global Postdoctoral Fellowships for European nationals or long-term residents applying with University of Southern Denmark as host institution, but with an outgoing phase of minimum 12 and maximum 24 months at an institution outside EU Member States and Horizon Europe Associated Countries, and a mandatory 12-month return phase to the University of Southern Denmark. Eligibility criteria The applicant must have successfully defended their doctoral thesis before the MSCA-PF call deadline 9 September 2026. Maximum 8 years (full-time equivalent) experience in research, from the date of the award of their PhD degree. Years of experience outside research and career breaks will not count towards the above maximum, nor will years of experience in research in third countries, for nationals or long-term residents of EU Member States or Horizon Europe Associated Countries who wish to reintegrate to Europe. The applicant must not have resided or carried out their main activity (work, studies, etc.) in Denmark (for European Postdoctoral Fellowships) or the country of the host organisation for the outgoing phase (for Global Postdoctoral Fellowships) for more than 12 out of the last 36 months immediately before the call deadline. Only one proposal per applicant is eligible. Beware that applicants who have applied to the MSCA Postdoctoral Fellowship 2025 call and received an evaluation below 80% are not eligible to apply in 2026. About the University of Southern Denmark The University of Southern Denmark (SDU) is a leading research institution renowned for its international environment. The university works strategically to obtain EU funding, which means applicants receive excellent support throughout the application process. SDU works to increase diversity in academic positions and management through ambitious initiatives such as mentoring programmes and networks. We foster a culture in which diversity is not only tolerated but appreciated as an asset. SDU has been awarded the ‘HR Excellence in Research’ by the European Commission, meaning that the university fosters good working conditions and career development for researchers. The Centre for Organizing Social Sustainability is located at SDU’s Sønderborg Campus. Read more about what it is like to live in Denmark and work at SDU. How to apply Use the attached application form to write a letter of interest describing: The project The match and mutual transfer of knowledge between the candidate, supervisor and host environment at SDU Your expected skill and career development based on the fellowship, in case of a successful proposal Send the letter of interest along with your CV (incl. publication list) to MSCA advisor in the Humanities Research Support, Troels Obbekær (trobbe@sdu.dk), no later than 11 March 2026. Applicants will be notified of the decision within one month of the 11 March deadline. Successful applicants will be a part of SDU’s support program and get counselling throughout their application process, in the form of master class participation, project development with the supervisor, peer-feedback on the project proposal, and more. In February 2027, the European Commission will announce which projects will be offered funding. Granted projects are expected to start no earlier than April 2027 and no later than September 2028.

Position Overview: We are seeking a highly qualified Postdoctoral Researcher to join its multidisciplinary research team working at the intersection of Artificial Intelligence (AI), Metabolomics, and Precision Health. The project aims to leverage AI and machine learning (ML) to analyze complex metabolomics datasets and address key health challenges, including biomarker discovery, disease classification, patient stratification, and personalized therapeutic strategies. The successful candidate will contribute to high-impact research projects focusing on metabolic diseases, cancer, neurodegenerative disorders, and microbiome-related health issues by applying advanced AI/ML techniques for biomarker discovery and metabolic network modeling. Scientific Challenges Addressed in the Position: High-dimensionality and complexity of metabolomics data, requiring advanced AI/ML techniques for robust analysis and interpretation. Integration of multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to achieve systems-level insights into disease mechanisms. Identification and validation of clinically relevant metabolic biomarkers for early disease detection, prognosis, and treatment response monitoring. Reconstruction of metabolic networks and pathway analysis to understand disease-specific metabolic reprogramming. Tackling data sparsity, batch effects, and heterogeneity in clinical metabolomics datasets. Developing explainable AI (XAI) models to facilitate clinical decision support systems (CDSS) and enhance trustworthiness in healthcare settings. Addressing longitudinal and time-series data analysis for monitoring disease progression and treatment outcomes. Key Responsibilities: Develop and implement AI/ML pipelines for feature selection, dimensionality reduction, and predictive modeling using metabolomics data from clinical studies. Apply deep learning models (e.g., autoencoders, variational autoencoders, graph neural networks) for biomarker discovery, disease classification, and patient stratification. Integrate multi-omics datasets to identify metabolic signatures and elucidate pathway-level alterations associated with disease phenotypes. Perform network-based analysis and reconstruction of metabolic pathways to uncover functional mechanisms underlying health and disease. Contribute to the development of personalized medicine strategies, including precision diagnostics and predictive models for treatment response. Collaborate with experimental teams, clinicians, and biostatisticians to validate computational findings in clinical cohorts. Publish research findings in peer-reviewed journals and present at international conferences. Mentor graduate students and contribute to building capacity in AI and health data science at UM6P. Required Qualifications: Ph.D. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related field with applications in healthcare and metabolomics. Strong experience in machine learning, deep learning, and AI frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of metabolomics data analysis, including LC-MS, NMR data preprocessing, normalization, and feature extraction. Familiarity with multi-omics data integration, biomarker discovery workflows, and metabolic pathway enrichment analysis (e.g., KEGG, HMDB, Reactome). Experience with statistical modeling and multivariate analysis techniques (e.g., PLS-DA, PCA, random forest classifiers). Proficiency in programming languages such as Python, R, and experience with bioinformatics pipelines. A proven track record of scientific publications in metabolomics, AI, or computational biology journals. Excellent communication and teamwork skills, with the ability to collaborate in multidisciplinary and clinical research settings. Application Process: Interested candidates should submit the following documents as a single PDF: A cover letter describing research interests, motivation, and relevant experience. A detailed Curriculum Vitae (CV) including a list of publications. Contact details for two academic referees.