University of Teramo

The University of Nicosia Medical School (UNIC Athens) invites applications from motivated academics for a Teaching and Research Faculty position in Epidemiology and Public Health, based in Athens, Greece. We seek colleagues who embrace student-centred learning, have an internationally visible record of high-quality research, and are committed to making significant contributions to society. Applications are invited at the rank of Assistant Professor, Associate Professor, or Professor, based on the candidate's experience and academic record. Essential Qualifications Doctoral degree (PhD or equivalent) in Epidemiology and Public Health or a closely related discipline Proven record of undergraduate and / or postgraduate teaching relevant to the subject area Research portfolio and publication record commensurate with the rank sought Excellent command of English Key Responsibilities Develop, deliver, and regularly update content relevant to their field across the curriculum of the Doctor of Medicine (MD) programme and postgraduate programmes. The successful candidate will be expected to engage students through innovative teaching methods, fostering critical thinking, professional values and ethical practice. Provide mentorship and guidance to students, including advising on research projects, theses, and career development. Conduct high-impact research in Epidemiology and Public Health, securing external funding to establish and sustain these programmes. Disseminate findings through peer-reviewed publications and presentations at national and international conferences. Serve on Departmental and School committees and assist with strategic planning and development. Advance the School’s mission by leading community outreach initiatives, holding leadership roles in relevant professional societies, and building strategic partnerships with healthcare and regulatory organisations. Application Requirements Interested candidates should submit the following documents in English: Cover Letter: Clearly stating the field and academic rank for which you are applying. Curriculum Vitae (CV): Including a full list of publications. Research Statement (1 page): Outlining previous and current research, as well as future research objectives. Teaching Statement (1 page): Describing your teaching philosophy and experience. Reference Letters: Two letters of recommendation. Note: Candidates must have the legal right to work in the European Union (EU) or the European Economic Area (EEA). Remuneration An attractive and competitive remuneration package will be offered, determined by the successful candidate’s qualifications and professional experience. How to Apply Please submit your application to hr@med.unic.ac.cy. To ensure efficient processing, please use the following format for your subject line: Faculty Position in [Field] – [Rank] – Ref: [F26EP01] – UNIC Athens Important Information: Positions will remain open until filled. Due to the high volume of applications, only shortlisted candidates will be contacted.

The Department The Department of Physics at Durham University is one of the leading UK Physics departments with an outstanding reputation for excellence in teaching, research and employability of our students. In the Research Excellence Framework (REF) exercise of 2021, the Department had 96% of publications rated as 3*/4*. The Department is committed to advancing equality and we aim to ensure that our culture is inclusive, and that our systems support flexible and family-friendly working, as recognised by our Juno Champion and Athena SWAN Silver awards. We recognise and value the benefits of diversity throughout our staff and students. Durham University hosts one of Europe's largest and most active research groups working in the fields of observational and theoretical extragalactic astronomy, cosmology, and instrumentation. Currently we have about 35 permanent members of academic staff, around 100 postdoctoral researchers and postgraduate students, and several research-active emeritus staff. We have access to all UK national observing facilities, including ESO, ALMA and ESA, and membership of the KMOS, NuSTAR, XRISM LOFAR, PAUS, MOONs and IXPE teams. Durham is also a partner in the DESI, 4MOST, WEAVE, Euclid, LSST, JCMT, HARMONI, and e-MERLIN collaborations and surveys. We are part of the Virgo Consortium and host extensive supercomputing resources, including the `Cosmology Machine', some of which is part of the DiRAC national supercomputing facility. Further information may be found at . The Role Research Assistant We invite applications for a Research Assistant position, to start in October 2026, with an initial period of 2 years and the possibility of further extension. The post is funded by the ERC Consolidator Grant project X-MAPS and will be supervised by Dr Adam Ingram, who will be moving to Durham University in June 2026. The successful candidate will join thriving research teams within the Centre for Extragalactic Astronomy (CEA) at Durham, which is a leading group in observational astrophysics with expertise in compact objects, active galactic nuclei, galaxies and large-scale structure. The Role Postdoctoral Research Associate We invite applications for a Postdoctoral Research Associate position, to start in October 2026, with an initial period of 2 years and the possibility of further extension. The post is funded by the ERC Consolidator Grant project X-MAPS and will be supervised by Dr Adam Ingram, who will be moving to Durham University in June 2026. The successful candidate will join thriving research teams within the Centre for Extragalactic Astronomy (CEA) at Durham, which is a leading group in observational astrophysics with expertise in compact objects, active galactic nuclei, galaxies and large-scale structure. The role will contribute to the goals of the X-MAPS project, which aims to unify fast X-ray timing and X-ray polarimetry techniques to improve our understanding of black hole X-ray binaries and measure black hole fundamental properties. Specific research projects include training neural networks to act as fast drop-in replacements for advanced X-ray timing and polarisation models (e.g. the X-ray reverberation mapping code RELTRANS), and applying advanced Fourier timing techniques to search for rapid spectral and polarimetric variability in the X-ray signal from black hole X-ray binaries. We are therefore searching for candidates with experience in theoretical modelling of accreting black holes and/or in observational stochastic X-ray timing and polarimetric analysis.

About the University 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. The Role We are seeking a highly motivated and talented Research Fellow to join an exciting industry-funded applied research project within the Infocomm Technology cluster at SIT. This project addresses the critical challenge of enabling ultra-reliable low-latency communications (URLLC) with priority-aware offloading for public safety services. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical systems. Key Responsibilities Derive and analyse closed-form mathematical expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication protocols to validate edge-only, cloud-only, and edge-cloud computation offloading algorithms. Conduct rigorous simulations and live PoC trials to ensure computation offloading algorithms meets URLLC targets for public safety services. Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Job Requirements A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related discipline. A strong theoretical foundation and research background in wireless communications and edge computing. Strong publication track record in top-tier conferences and journals in the areas of wireless communications, IoT, or edge computing. Demonstrated proficiency in software API and algorithm development of edge intelligence algorithms using Python. Knowledge of machine learning or reinforcement learning techniques is highly advantageous. Experience with theoretical wireless network modelling, particularly stochastic geometry or queuing theory, is highly advantageous.