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Final International University

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Catalkoy, Northern Cyprus
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About Final International University

Basic information and contact details for Final International University

institution
Located in Northern Cyprus, Final International University was established in 2015, as a result of collaboration between Final Education Institutions and the DMG-Akgunler Group. With nine faculties and three schools, students at Final International university have the opportunity to study a wide range of degree programmes from dentistry to architecture, health sciences and foreign languages. The university provides free transportation for students between the university and town centres, making it easy to explore the local area off-campus. On campus, there’s a whole host of activities and facilities to keep students busy in their downtime. From football to diving to chess, Final International Universityhas a range of sports and extracurricular activities. One of the university’s unique features is its "Hobby Courses" offering. From Cyprus Cuisine to Young Gourmets, students can access a range of extra courses to expand their skillsets and equip them for independent living. The area of Kyrenia itself is bursting with history, nature and culture.

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Research Engineer/Fellow (Deep Learning Computer Vision - SHNeo)

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

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Singapore Institute of Technology (SIT)

Singapore


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 primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements 1. Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently

Salary

Competitive

Posted

5 Mar 2026

Tenure-Track Clinical Associate Professor/Assistant Professor in the Department of Obstetrics

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 534424 Work type: Full-time Department: Department of Obstetrics and Gynaecology, School of Clinical Medicine (20900) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Clinical Associate Professor/ Clinical Assistant Professor (several posts) in the Department of Obstetrics and Gynaecology, School of Clinical Medicine (Ref.: 534424), to commence as soon as possible, on a four-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second four-year fixed-term contract, subject to funding availability and satisfactory performance. Applicants should possess a medical qualification registrable with the Medical Council of Hong Kong and a specialist qualification in Obstetrics and Gynaecology, i.e. Fellowship of the Hong Kong Academy of Medicine (Obstetrics and Gynaecology). Applicants should demonstrate proven capacity and potential for high-quality research, and excellence in teaching and student supervision at both undergraduate and postgraduate levels. They must also demonstrate a strong commitment to teaching, and be able to contribute to the enhancement and development of medical and health sciences courses in the Faculty. Those with experience of having successfully developed and submitted research grants and worked effectively with major international partners and funding agencies; interacting effectively across multiple sectors; and establishing and managing studies involving colleagues from different disciplinary backgrounds may be favourably considered. The appointees will undertake teaching responsibilities, and organize and develop both undergraduate and postgraduate programmes. They are expected to conduct high-quality scholarly research, provide clinical services and patient care at the University's teaching hospitals, and participate in services/administration at Departmental, Faculty and University levels. They are also expected to play a key role in leading the development of academic scholarship and teaching programmes of the Department. Information about the Department can be obtained at https://obsgyn.med.hku.hk/. 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. A monthly cash allowance will be offered to the successful candidate. Housing benefits will also be provided as applicable. The University only accepts online application for the above posts. Applicants should apply online, upload an up-to-date C.V. with an indication of research orientation and specialty of interest, and provide the contact information of at least 3 referees who can comment on his/her academic scholarship. Review of applications will start from May 4, 2026 and continue until June 30, 2026, or until the posts are filled, whichever is earlier.

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Competitive salary

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6 Mar 2026

MOE START Scheme (Early Career Awards) - Engineering

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills and competence.  In research, SIT faculty aims to bridge knowledge creation and utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to impact businesses.  The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT. The Early Career Awards (ECA) are designed to support Singaporeans who have recently completed their postdoctoral training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio. Eligibility and Selection Criteria Singapore Citizen   Recently completed postdoctoral training   Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas  Strong passion for teaching, research and an academic career Benefits Awardees may receive research grants to help build a competitive research portfolio. Upon completion of the award, awardees will be considered for Assistant Professorship. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for intake 2026.  Interview by the respective clusters for shortlisted applicants will be conducted throughout the year.  Final Interview by Panel for shortlisted applicants will take place from March to April 2026. Awards for intake 2026 will be finalised by July 2026. Supported Areas for START Engineering Energy Resilience: Power electronic converters for distributed energy resources and microgrids; High voltage DC transmission and distribution components and systems; Electric propulsions systems for land, sea and air; Wide bandgap solid-state protective devices.  Sustainable Infrastructure Engineering & Maintenance: Construction technology, Tunnel engineering, Integrated BIM for Civil and MEP design optimisation; Non-destructive testing and prognostic maintenance for infrastructure life extension.  Sustainable Maritime Engineering: Ship design and optimisation towards maritime decarbonisation; maritime battery room design for safety; intelligent ship and operations; autonomous vessels and systems.

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Doctoral Position at Department of Electronics and Nanoengineering

AALTO UNIVERSITY

Aalto University

Finland

institution

Aalto University

Finland


Doctoral position at Department of Electronics and Nanoengineering at Aalto University, in Espoo, Finland. DC12: Design, fabrication, and characterization of reconfigurable and time-varying optical metasurfaces Main supervisor: Prof. Viktar Asadchy[AALTO] Co-supervisors/mentors:  Prof. Rockstuhl [KIT] and Prof. Díaz-Rubio [UPV] Objectives To design optical metasurfaces capable of complex reconfigurable functionalities while restricting control to a single, or otherwise limited, discrete set of tuning parameters, enabling practical global actuation and robust device operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics with realistic material constraints and experimentally feasible excitation and driving schemes. To fabricate and experimentally characterize the designed prototypes, and to validate their reconfigurable and time-varying performance through quantitative comparison with analytical modeling and full-wave simulation results. This position is part of the MetaTune Doctoral Network "Reconfigurability using inversely designed metasurfaces", which has been funded under the Horizon Europe Marie Skłodowska-Curie Actions (MSCA) program. Acquire knowledge During the thesis, the candidate will acquire a solid understanding of the theoretical and practical requirements for designing optical metasurfaces with complex reconfigurable and time-varying responses, with particular emphasis on achieving rich functionality under a single or otherwise limited set of discrete tuning parameters. In parallel, the candidate will gain in-depth knowledge of time-modulated photonic media, nonlinear optics, adjoint-based optimization strategies for high-dimensional inverse design, and realistic material and excitation constraints at optical frequencies. The candidate will also develop practical expertise in prototype fabrication, experimental characterization, and quantitative validation of measured performance against analytical models and full-wave simulations. Go to the project webpage for more information What METATUNE Offers Work contract at Aalto is for 36 months funded through the MSCA network, with the additional benefits for employees (public and universal health system, free schools, etc.). Three research stays, one 4-month at Karlsruher Institut fuer Technologie, one 3-month at Photonicsens SL in Valencia, Spain, and one 3-month at Polytechnic University of Valencia are foreseen in the research plan. Opportunity to pursue a PhD degree at a leading European university within a collaborative, international network. Training program including research-specific and transferable skills courses. Active participation in workshops, conferences, and network-wide events to build professional and scientific connections. Stimulating, multidisciplinary, and international research environment within a prestigious European training network. Starting date: Now-December 2026; negotiable. Deadline for online application: May 31, 2026 (but candidates are encouraged to apply as soon as possible). Requirements Mandatory Requirements You must have a finalised master’s degree in fields related to the research topic: Electrical Engineering, Physics, Telecommunications Engineering, Applied Physics, Optics, Material Engineering, or similar. You should not have a doctoral degree at the time of recruitment.  You must not have resided or carried out your main activity (work, studies, etc.) in Finland for more than 12 months in the 36 months immediately before the recruitment (this is a requirement from the funding authority). You will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering and must satisfy the eligibility conditions for this doctoral programme. Sufficient skills in the English language. Additional Requirements Strong background in electrodynamics and excellent mathematical skills. Basic knowledge of computational electromagnetics. High proficiency in Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including presentation skills. Good organizational skills, attention to details, and ability to meet deadlines. Willingness to learn and work collaboratively in a research environment. Desired skills and knowledge Proficiency in electromagnetic simulation software, such as COMSOL Multiphysics, ANSYS HFSS, or CST Studio Suite. Previous experience with the topic of time-varying materials or systems. Solid knowledge of computational electromagnetics. Previous experience in nanofabrication or design of metasurfaces. Apply now via this link, at the latest by May 31st, 2026: https://metatune.webs.upv.es/jobs/

Salary

Competitive

Posted

6 Mar 2026

Clinical Research Fellow in Neuromodulation, Sleep, and Dementia

UNIVERSITY OF SURREY

University of Surrey

United Kingdom, Guildford

institution

University of Surrey

United Kingdom, Guildford


The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role We are seeking an outstanding Clinical Research Training Fellow to help spearhead the development and clinical testing of a novel non-invasive brain stimulation sleep therapy for Alzheimer’s disease. The project is funded by the Medical Research Council and will be conducted at the UK Dementia Research Institute Centres at the University of Surrey and Imperial College London  The successful applicant will, together with other team members, be responsible for recruiting individuals with early-stage Alzheimer’s disease to the study and for administering non-invasive brain stimulation (phase-locked TI electric fields and audio), electroencephalography (EEG), and cognitive paradigms during wakefulness and sleep. The successful applicant will also work alongside other team members to examine patients’ responses by analysing EEG and behavioural data.  Candidates are expected to hold a medical qualification (MBBS or equivalent) and be fully registered with the GMC, have experience working with patients with mild cognitive impairment (MCI) or dementia, and have knowledge of research methods and statistical procedures The successful applicant will be clinically mentored by Chris Butler (the project’s clinical lead) and will be an active member in Derk-Jan Dijk's (University of Surrey) and Nir Grossman's (Imperial College) research groups. You will be expected to collaborate closely with researchers across the groups at Imperial College London, the University of Surrey, King’s University, and with the broader worldwide network of collaborators.  About you Crucial skills include prior experience working with patients, particularly those with dementia or other cognitive disorders. Desirable skills include experience in assessing cognitive function using standardised and experimental tasks, conducting non-invasive brain stimulation and/or EEG recording procedures, and analysing EEG data. However, the role involves substantial training, including the opportunity to enrol in a PhD program, to bring the clinical fellow to the highest level of competence in those research approaches.  How to apply For more information and informal discussions, please contact Prof Dijk (d.j.dijk@surrey.ac.uk; 01483 689341) Please apply on the University website with your CV with a list of publications and presentations and cover letter detailing why you are interested in this job also answering the criteria questions.  Further details Job Description

Salary

£37,694 to £46,049 per annum

Posted

6 Mar 2026

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  • Medicine and Dentistry
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