Overview
For Students
Teaching and Research
profile logo default

Debre Markos University

Debre Markos, Ethiopia
  • About
  • Rankings
  • Impact Rankings
  • Key stats
  • Jobs
  • Subjects
  • Downloads
  • FAQs
  • Suggested universities

Discover similar universities

Find out more about studying, research and jobs at these universities

the colour logo

suggested

Jobs you might be interested in

You may want to explore jobs from other universities which are relevant to you

See all

Post-Doctoral Associate / Associate Research Scientist, Center for Astrophysics and Space Science

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description The Center for Astrophysics and Space Science (CASS) at NYUAD is looking to appoint new independent fellows working in one (or more) of the following center's research fields Extrasolar Planets Galactic Astrophysics (including compact objects) Extragalactic Astrophysics and Cosmology Astroparticle Physics (Dark Matter searches, gamma-ray spectroscopy, gravitational waves) The center currently consists of eight faculty members and more than 25 researchers and PhD students. The Center possesses the unique possibility to investigate fundamental questions in astrophysics, astroparticle physics, and planetary physics from several points of view, with the expertise of its members ranging from collecting and analyzing state-of-the-art data on the nature of the visible and invisible matter in the Universe, to detailed theoretical and numerical studies from planets to galaxies, and linking them together cohesively. We expect successful applicants to work towards improving the collaborations and connections among the different areas. We invite applicants to visit our website to learn more about current research projects at CASS. The center fellows will have access to a 70,000-core Infiniband Cluster (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD also has guaranteed observing time on the Green Bank Telescope, the Very Long Baseline Array, and Las Cumbres Observatory, and is a participant in SDSS-V. Applicants should have a PhD in astronomy, astrophysics, physics, or a closely related field. The appointment will be for an initial period of two years with a likely extension to a total of three years. CASS fellows will have dedicated funds for traveling, computing, publications, etc. The preferred starting date is Fall of 2026. Applicants need to submit a cover letter, curriculum vitae, publication list, and a brief (ideally 2-3 pages) statement of research interests, transcript and three letters of recommendation. Applicants are strongly encouraged to outline in their research statement how they plan to help create connections between the different research areas of the CASS. Applications received before November 30, 2025, will receive full consideration, positions will stay open until filled. If you have any questions, please e-mail Prof. Andrea V. Macciò (Center director) maccio@nyu.edu The terms of employment include a very competitive salary, housing allowance, medical insurance, educational subsidies for children, and other benefits. Please note that the UAE does not levy income tax. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.

Salary

Competitive

Posted

9 Apr 2026

Research Engineer/Research Fellow (LLM/VLM, Media Comparison, AI-Assisted Explainability) - IM

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


As Singapore’s University for Industry, SIT works closely with industry partners 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 position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: LLM/VLM, media comparison, AI-assisted explainability. The need is for a real-time system, so efficient coding is important. Key Responsibilities: Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met.  Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications. Deliver solution-ready demonstration code. Interact well within the team and the customers. Be self-directed to fulfil the project requirements. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image processing is required. Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI. Experience of authoring good quality academic publications. Manage undergraduate research assistants (if appropriate). Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China. Key Competencies: A self-directed worker who believes in continuous learning and development Proficient in academic writing  Possess good critical thinking skills Show strong initiative and take ownership of work Interest in AI, machine learning, image/audio processing

Salary

Competitive

Posted

10 Apr 2026

Lecturer (Zoology)

UNIVERSITY OF WESTERN AUSTRALIA

The University of Western Australia

Australia, Perth

institution

The University of Western Australia

Australia, Perth


Full-time appointment on a tenurable basis. Base salary range: Level B, $118,150 – $139,812 p.a. (pro-rata) plus 17% superannuation. About the area The School of Biological Sciences is a large and multidisciplinary team of more than 100 high-calibre academic and professional staff delivering world-class education and research programs to approximately 1000 undergraduate and postgraduate students. The School is responsible for the supervision of ~150 PhD students, reflecting research strengths and expertise in the disciplines of Zoology, Computational Biology, Conservation Biology, Ecology, Evolutionary Biology, Marine Biology, Neuroscience, Plant Biology and Science Communication. Many of our team are also active members of the UWA Oceans Institute and the UWA Institute of Agriculture, which further nurtures cross-disciplinary research and educators to serve the needs of Western Australia, Australia and the world. About the opportunity Deliver high-quality, innovative teaching in zoology and general biology, including field-based learning, while supporting and supervising undergraduate and postgraduate students. Build a developing research profile in terrestrial zoology through publications, grant applications, and collaboration within research groups. Contribute to service, engagement and academic governance, including industry and community partnerships, while supporting an inclusive and collaborative School culture. About you PhD in an academic field relevant to the discipline or other higher professional qualifications appropriate to the discipline. Demonstrated record of strong communication skills, including science communication beyond academic colleagues. Experience, relative to opportunity, in contributing to the development and delivery of a breadth of curricula and the use of innovative teaching and/or communication approaches, assessments and materials for units, courses and other knowledge-transfer situations. A strong track record relative to opportunity of excellence in research at a national level evidenced by peer-reviewed journal articles published in high-quality journals. Demonstrated evidence of research leadership relative to opportunity, including collaborations with internal and external colleagues. Note: Employment checks will include information on gender-based violence, sexual harassment, and related misconduct to meet legal obligations. A “C” class driver’s licence will be required by the successful applicant. Position description: PD [Lecturer (Zoology)] [523067].pdf To learn more about this opportunity, please contact Associate Professor Greg Skrzypek at grzegorz.skrzypek@uwa.edu.au How to apply Please apply online via the Apply Now button and address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Addressing the selection criteria. You may submit a statement describing any personal circumstances relevant to your application. This can include academic/professional interruptions or achievements relative to opportunity. Closing date: 11:55 PM AWST on Sunday, 10 May 2026  This position is open to applicants with relevant rights to work in Australia, as well as international applicants. Benefits Flexible working options. Generous paid leave including parental leave. Up to 17% employer paid superannuation. Salary packaging available. Incremental progression based on 12 months continuous service. Discounted UWA course fees. Discounted health insurance. Employee Assistance Program. About the University The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, supported by the freedom to innovate and inspire, there is no better time to join Western Australia’s top university. Learn more about us. Our commitment to inclusion and diversity UWA is committed to a diverse workforce and an equitable and inclusive workplace. We are committed to fostering a safe environment for all, including Aboriginal and Torres Strait Islander people, women, those from culturally and linguistically diverse backgrounds, the LGBTIQA+ community, and people living with disability. If you require any reasonable adjustments, we encourage you to advise us at the time of application. Alternatively, you can contact us for assistance during the recruitment process. If you have queries relating to your application, please contact the individual named in the advertisement. Alternatively, please contact the Talent team at people@uwa.edu.au with details of your query. To enable a quick response, please include the 6-digit job reference number.

Salary

$118,150 – $139,812 p.a. (pro-rata) plus 17% superannuation

Posted

9 Apr 2026

Data Manager

ADELAIDE UNIVERSITY

Adelaide University

Australia, Adelaide

institution

Adelaide University

Australia, Adelaide


Based in the College of Health in the School of Medicine in North Adelaide Full-time (0.8 FTE negotiable) fixed term contract for 12 months Salary Range: $114,151 - $128,065 per annum (plus 17% superannuation) At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters The Data Manager plays a central role in establishing, delivering, and maintaining the integrity of a national research monitoring program focused on early type 1 diabetes. The role is responsible for designing, implementing, and managing fit-for-purpose data systems and registries that supports multi-centre clinical and research activity across Australia, ensuring data quality, security, interoperability, and usability for reporting, evaluation, and research outcomes. This role requires a high level of technical expertise, strong organisational skills, and the ability to work collaboratively across institutions to ensure that data is accurate, secure, and usable for reporting, evaluation, and research outcomes. Working closely with the Project Manager, Chief Investigators, Lead Biostatistician, site-based data staff, and national and international collaborators, the role provides expert leadership in the design, implementation, and stewardship of high-quality, secure and interoperable data systems and registries, supporting the program and its integration with broader type 1 diabetes research initiatives. Curious to learn more? Explore the full role description below to discover more about this opportunity.  The team  The Data Manager will be embedded within a national, multidisciplinary team based in Adelaide University School of Medicine and delivered in partnership with leading paediatric and adult clinical centres across Australia. The program brings together clinicians, researchers, data specialists, health professionals, and consumer advocates with strong links to national and international screening, monitoring, and registry initiatives in early type 1 diabetes. The data function is a critical enabler of the program’s success, supporting evaluation, reporting, and future scalability. Visit the AU website to learn more about the College of Health. Our people This role will suit someone who enjoys building and maintaining robust data systems and registries in complex research environments. You will be comfortable working both independently and collaboratively, and confident engaging with a wide range of stakeholders, from site-based data assistants to senior researchers. You will enjoy variety in your work, from hands-on database and registry development through to ongoing data quality oversight, problem-solving, and supporting research and reporting needs across the program. To learn more about our people, what we stand for and what we offer visit Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience: Postgraduate qualifications in a relevant discipline and/or extensive experience in data management for complex research or health programs, or an equivalent combination of training and experience Demonstrated experience designing, managing and maintaining complex research databases or registries in health or multi-site research environments Proven ability to apply data governance practices including data quality assurance, audits, version control, metadata management, and data dictionaries Experience integrating data from heterogeneous sources including clinical systems, research platforms and registries Proven ability to coordinate data activities across multiple internal and external stakeholders Experience supporting data preparation for reporting, evaluation and research analysis in collaboration with technical specialists Strong technical capability with research data platforms and tools (for example, REDCap, SQL-based systems, R and/or Python and secure cloud or institutional data environments) Role responsibilities Design, build, and maintain complex research databases and registries for national, multi-site health research and programs Lead the development and implementation of data standards, data dictionaries, and harmonisation processes across participating sites Provide strategic oversight of data systems to support scalability, sustainability, and future research directions Manage data governance activities, including quality assurance, version control, metadata management, and audit processes Coordinate data integration, linkage, and ingestion from multiple sources to ensure accuracy, consistency, and usability Ensure data systems and processes adhere to ethical approvals, privacy legislation, secure data environments, and controlled access requirements Support the preparation of analytic datasets, reporting extracts and evaluation outputs in collaboration with biostatistics and research teams Manage data linkage activities with accredited data linkage units, including of linkage files and quality assurance of linked datasets Drive coordination and continuous improvement of data systems, processes, and standards across sites and collaborators Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process.  Launch your future with Adelaide University now  Simply click on the Apply Now button and upload:  your current CV  a cover letter that tells us how you meet requirements of the role (maximum 2 pages) The online application form will list the specific selection criteria that you need to address Submit your application by 11:30pm Wednesday 29 April 2026  Please note that the role description is not attached to this advertisement as it is currently being finalised.  For further information about this opportunity, please contact (quoting reference number 492767):  Jessica De Lorenzo Team Lead, Talent Acquisitions +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.  Pursuant to the Child Safety (Prohibited Persons) Act 2016 (the Act) and the Child Safety (Prohibited Persons) Regulations 2019 (the Regulations), this position has been deemed prescribed. This role will require the successful candidate to hold a current Working with Children Check. Appointment is subject to a satisfactory National Police Check (NPC) being obtained and maintained. 

Salary

$114,151 - $128,065 per annum (plus 17% superannuation)

Posted

10 Apr 2026

Research Engineer (Computer Vision - Wildlife Species) - SH1

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

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 Research Engineer will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job 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: Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets. Design and implement software modules to integrate the models into a working system prototype. Perform data annotation. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. Prepare project documentation, technical reports, and academic publications. Collaborate with industry partners and contribute to technology transfer efforts. Support the design of simple web interfaces or dashboards to visualise CV model outputs, working alongside developers when needed. Contribute to system integration by applying familiarity with backend/frontend workflows, ensuring CV models can be accessed through user-facing applications. Assist in deployment of CV solutions on cloud or edge platforms with basic interface support for end-users. The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.  Technical Requirements: Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) Computer vision models for object detection and classification (e.g., YOLO, R-CNN variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques  Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with dataset preparation, model training, and performance evaluation Candidates with strong computer vision expertise and proven success in 1-2 substantial CV projects are welcome to apply regardless of domain-specific experience Familiarity with Web/Full-Stack Development: Basic understanding of frontend frameworks (e.g., React, Angular, or Vue.js) Eposure to backend development (e.g., Flask, Django, Node.js) Awareness of RESTful APIs and microservices architecture. General knowledge of database systems (SQL/NoSQL). Experience with cloud platforms (AWS, GCP, Azure) for deployment and scaling Educational Requirements: Hold at least a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological datasets or wildlife imagery Familiarity with data annotation tools and practices for large-scale datasets Knowledge of model deployment and optimization (e.g., ONNX, TensorRT, model quantization) Experience with edge computing or embedded systems (e.g., NVIDIA Jetson, Raspberry Pi) Background in real-time processing and GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer vision challenges) Experience with version control (Git) and collaborative development practices

Salary

Competitive

Posted

10 Apr 2026

lightbulb up

Do you work for this institution?

Make your university stand out by adding more stats, events and more.