ETH Zurich

Ref.: 534854 Work type: Full-time Department: School of Chinese Medicine (22100) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow (several posts) in the School of Chinese Medicine (Ref.:534854), to commence as soon as possible for a period of one year with the possibility of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Chinese Medicine or related disciplines, with proven research experience in experimental and clinical studies. Those with an outstanding track record of high-quality publications in basic research, clinical and translational research are preferred. He or she should be meticulous, self-motivated, and be able to work in collaboration across teams. Proficiency with excellent command of written and spoken English and Chinese is required. The appointees are expected to be involved in research projects pertaining to various disciplines of Chinese Medicine for the treatment of cancers, metabolic disorders, aging-related diseases, mental disorders and autoimmune diseases as well as quality control of Chinese herbal medicine. He/she will perform related research analysis, conduct clinical study, write reports and papers, assist in supervising postgraduate students and carry out other duties as assigned. Enquiries about the duties of the post can be sent to scmhr@hku.hk. Applicants who have responded to the previous advertisement (Ref:534280) need not re-apply.  A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until April 24, 2026, or until the post is filled, whichever is earlier. The University thanks applicants for their interest, but advises that only candidates shortlisted for interviews will be notified of the application results.

We are looking to appoint a postdoctoral researcher with experience and expertise in nanoelectronic device fabrication, to be based in the School of Electronics and Computer Science at the University of Southampton as part of the group of Dr Ruomeng Huang (R.Huang@soton.ac.uk). This postdoctoral fellowship is part of the EXPRESS (Exploiting Single Source Precursors for the Electrochemical Growth of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC). EXPRESS is a large (£10M) flagship, interdisciplinary research programme over 5-years. It is led jointly by the Universities of Southampton and Warwick, alongside several international and industrial partners, and brings together internationally leading teams from across chemistry, physics and electronic engineering. It aims to deliver a step-change in the understanding and control of electrochemical growth of high-quality mono/few-layer functional transition metal dichalcogenides (TMDCs), combining precursor design and synthesis, electrochemistry, solution and surface computation, advanced characterisation and device integration. In addition to the essential disciplinary research skills, candidates should demonstrate a genuine enthusiasm for collaborative working, the ability to communicate effectively across disciplines, and well-developed organisational skills. In this role, your primary focus will be the fabrication and optimisation of TMDC-based nanoelectronic devices, including transistors and memristive devices, using electrodeposited TMDC materials developed within the EXPRESS programme. You will design and implement fabrication process flows within a cleanroom environment, including thin film deposition, lithography, mask design and etching, and carry out device and materials characterisation using techniques such as SEM/EDX, XRD, Raman, XPS and electrical (I–V) measurements. The role will involve integration of novel materials into device architectures and development of reliable fabrication protocols. You will work in close collaboration with colleagues across the EXPRESS consortium, including materials synthesis, electrochemistry and theory teams. You will be required to be flexible and interact effectively with colleagues across the wider EXPRESS consortium to fulfil the scientific goals of the Programme. The position is offered for 24 months in the first instance, with the possibility of extension for up to 3 further years. Apply by uploading your CV and a cover letter detailing how your skills and experience match the requirements of the role. Please contact Dr Ruomeng Huang (R.Huang@soton.ac.uk) for informal enquiries.

There is a vacancy for a fixed-term full-time position as Researcher (code 1109) at MediaFutures,: Research Centre for Responsible Media Technology & Innovation, University of Bergen. The position is for a period of two (2) years and is externally funded. Latest start date: 1st of October 2026. Place of service: Media City Bergen, Bergen, Norway. About MediaFutures and the position About MediaFutures MediaFutures is a Centre for Research-based Innovation (SFI) funded by the Research Council of Norway and hosted by the University of Bergen. The centre is located at Media City Bergen and is closely connected to the Department of Information Science and Media Studies, the DARS research group, and adjacent computational social science and AI research environments at UiB. MediaFutures conducts interdisciplinary research on responsible artificial intelligence and media technologies, including media trust, recommender systems, AI-driven content production and analysis, content interaction and accessibility, Norwegian language technology, and broader questions in computational social science and behavioural data science. The centre produces scientific publications, prototypes, tools, and innovation outputs in close cooperation with industry partners. In the coming years, MediaFutures is also expected to play an important role in shaping possible post-SFI research structures and future research trajectories at UiB, including activities linked to DARS and to the broader scientific agenda associated with the Norwegian Computational Behaviour & AI Lab. Read more about the centre at https://mediafutures.no/ Strategic Context As MediaFutures enters the final phase of the SFI period, the centre is strengthening the scientific execution capacity needed both to deliver on ongoing externally funded projects and to support the exploration of possible post-SFI organisational models and future research trajectories at UiB. This position is designed as a project-delivery role and will work closely with the Centre Director across strategically important ongoing projects, while also helping consolidate methods, outputs, and research capacity around a coherent scientific agenda linked to DARS and to the broader research themes associated with the Norwegian Computational Behaviour & AI Lab. The position will collaborate closely with the Centre Director on a daily basis and report formally to the Centre Director at MediaFutures. About the Position The position will be affiliated with the DARS research group. The successful candidate is also expected to conduct research relevant to the broader scientific agenda associated with the Norwegian Computational Behaviour & AI Lab at UiB and to demonstrate an understanding of the research themes, methods, and long-term academic ambitions connected to this environment. This position contributes directly to the scientific execution of ongoing and newly awarded externally funded projects within MediaFutures, including projects such as VaccAI and CuratedAI, while also contributing research that strengthens DARS and the broader scientific agenda associated with the Norwegian Computational Behaviour & AI Lab. The successful candidate will strengthen research delivery, milestone completion, publication output, empirical validation, and structured execution in the centre's final SFI phase while also helping position the Centre’s research portfolio for a focused post-SFI future. Responsibilities Conduct independent and collaborative research in behavioural data science, computational social science, AI, recommender systems, and related areas, with clear relevance to DARS and the broader scientific environment associated with the Norwegian Computational Behaviour & AI Lab. Develop and evaluate AI-driven models of trust, misinformation, user behaviour, and content interaction. Contribute to multimodal modelling, experiments, surveys, and empirical validation. Support execution of project milestones, work packages, deliverables, and reporting obligations. Contribute to scientific publications, datasets, prototypes, and other research outputs. Assist in the supervision and coordination of PostDocs, PhDs or research assistants and structured follow-up of project tasks where relevant. Contribute to continuity of methods, data resources, and research practices across projects linked to the Centre Director's portfolio, the DARS research group, and the broader scientific environment associated with the Norwegian Computational Behaviour & AI Lab. Qualifications and personal qualities: The applicant must: Hold a Norwegian PhD or an equivalent degree within Data Science, Computer Science, Information Science, Computational Social Science, Artificial Intelligence, or a closely related field. Have submitted the PhD thesis at the time of application and have been awarded the degree before the starting date of the position. Demonstrate strong competence in statistical analysis, computational methods, and data-driven research. Have experience working with behavioural, multimodal, or large-scale user data. Demonstrate ability to combine independent research with collaborative project work and to contribute to a broader research environment beyond a single project. Have strong organisational, collaboration, and communication skills, and demonstrate motivation to contribute to DARS and to the broader scientific environment associated with the Norwegian Computational Behaviour & AI Lab, while collaborating constructively with other relevant research environments at the department. Be proficient in written and spoken English, as English is the working language of the centre. The following will be considered an advantage: Experience with externally funded collaborative research projects. Experience with interdisciplinary collaboration and co-authored publication development. Experience with experimental or user-oriented research designs. Experience supporting supervision or coordination of junior researchers or assistants. Potential candidates may be invited to the centre for an interview. We can offer: A professionally stimulating and interdisciplinary research environment. Close collaboration with the Centre Director and integration into the DARS research group and related research activities at Infomedia. Participation in nationally and internationally competitive research projects. Salary according to the Norwegian government salary scale (code 1109). Salary is currently NOK 657 000, - per year before tax. Further promotion follows standard regulations. Enrolment in the Norwegian Public Service Pension Fund Good welfare benefits An inclusive workplace at Media City Bergen and the University of Bergen. For more information about moving to Bergen and Norway, please visit: https://www.uib.no/en/international/128545/international-staff Your application must include: A cover letter describing research interests and motivation for applying. CV. Publication list. Up to five selected scientific publications. Transcripts and diplomas, including confirmation that the doctoral thesis has been submitted. Names and contact information for two reference persons (one normally being the PhD supervisor). Relevant certificates/references. The application and any attachments along with certified translations in English or another Scandinavian language must be uploaded to JobbNorge. Applications sent by e-mail or without requested documents will not be evaluated. Application deadline: May 3, 2026.