Aboubacar Ibrahim International University
Discover similar universities
Find out more about studying, research and jobs at these universities
suggested
Jobs you might be interested in
You may want to explore jobs from other universities which are relevant to you
See all
Assistant Professor / Lecturer in Teacher Education
Maynooth University
Ireland, Maynooth
Maynooth University
Ireland, Maynooth
Department: Education Vacancy ID: 040884 Closing Date: 10-May-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking an excellent academic to join our staff as an Assistant Professor / Lecturer in Teacher Education. The person appointed will have a proven record of teaching, research and publication, appropriate to career stage. They will be expected to make a strong contribution to the teaching programmes of the Department and undertake teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision of Master’s and Doctoral students. The appointee will be expected to build a strong research profile that supports the University’s research strategy including affiliating to the Research Institutes, where appropriate, and working with colleagues on national and international research. The appointee will be expected to sustain and conduct research, engage in scholarship of quality and substance and generate publications of international standard. Salary: Assistant Professor / Lecturer (2026): €65,401– €103,564 p.a. (7 points) Assistant Lecturer: €42,599 – € 72,718 p.a. (14 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 10th May 2026 Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University
Salary
€42,599 – €103,564 p.a.
Posted
10 Apr 2026
CESFRA - Postdoctoral Position in Agronomy and Soils Sciences (Dynamic of Organic Matter (SOM)
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Job Title: CESFRA - Postdoctoral Position in Agronomy and Soils Sciences (Dynamic of organic matter (SOM) in soils and how to improve it contains, particularly, on its stable form and establish the relationships between SOM and biological indicators for soil health under different land uses). Area of specialization: Degraded soils, Organic matter, organo-mineral amendment, microbial inoculation, plant covert, soil health and quality, soil health indictors, sustainable agriculture, field experiments monitoring. About UM6P: At the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals to boost its quality-oriented research environment in the metropolitan area of Marrakech. About Center of Excellence for Soil and Fertilizer Research in Africa, College of Agriculture and Environmental Sciences: Center of Excellence of Soil and Fertilizer Research in Africa at the Mohamed VI Polytechnic University (CESFRA) aims to evolve a continental hub of knowledge, skills, technology and information on soil suitability, land use and fertilizer development, which can be accessible to the various African stakeholders viz., farmers, universities, research institutions, policy makers, public and private sectors with the purpose of unveiling the huge potential of the Africa’s agriculture. Certainly, the knowledge generation and accessibility tasks do take place through partnership, networking, faculty and students exchange between CESFRA of UM6P and the various academic, research and other related organizations operating in Africa. The key thematic research and development areas that can help in transforming the Africa’s food production systems is listed below: Pedology and land use Soil fertility and fertilizer Soil Health Job/Project description: The Center for Sustainable Soil Sciences (CAES) at the Mohammed VI Polytechnic University seeks a dynamic and highly motivated individual to join our academic institution as a postdoctoral research staff in Agronomy (Dynamic of organic matter in soils and how to improve it contains, particularly, on its stable form and establish the relationships with biological indicators for soil health under different land uses). The successful candidate will contribute to our institution's commitment to excellence in research and innovation in agronomy and soils sciences, mainly by conducting innovate research which allow us: (i) to evaluate the effect of land uses and agricultural practices on the capacity of soils to store carbon and (ii) to develop strategies (organo-mineral amendment, installation of a plant cover, inoculation by microorganisms of agronomic interest) and propose recommendations (iii) to increase the sequestration of organic matter on its stable form in the soils and (iv) to use practical biological soil health indicators, such as soil fauna, to promote sustainable use of agricultural soils in Africa. Main responsibilities: The selected candidate will be expected to: Conduct a survey with farmers to obtain a general view of real agricultural practices used in the selected Mediterranean and Sub-Saharan African countries where SOC is very low; Propose characterisation of the soil properties collected from different studied farms; Test how to Improve soil organic carbon content using organo-mineral resources under controlled condition; Assess the effect of using organo-mineral resources on soil carbon stock in the field; Implement agronomic assay to evaluate the stability of clay-humic complexes under culture conditions and how an intense of microbial activity contributes into the process of stabilization of organic matter; Assess the effects of organo-mineral management on soil biological parameters, including soil fauna; Predict the dynamic of OM in the future global climate change by using Soil Organic Models. Mentor master students and PhDs Education, qualifications, and experience Applicants must have an earned doctorate in Agronomy, Soils Sciences with hands-on the dynamic of Organic Matter in the soils, or Soil Ecology. Strong knowledge of soil science, soil fertility, and crop production systems in Mediterranean and Sub-Saharan African countries; Capabilities to set up field experiments and interpret measured data, including statistical medthods, and translate it high quality into manuscripts to be submitted; Demonstrated experience of multidisciplinary research in the above research area. High-quality publications in relevant scientific journals demonstrate a strong record of research accomplishments. Experience in supervising undergraduate/graduate students. Strong communication skills in English and French, both written and verbal, to effectively engage with students, colleagues, and the broader scientific community. Applications and selection procedure: The application folder must contain: Cover letter indicating the position applied for and the main research interests. Detailed CV. Statement of research and teaching interests describing the candidates’ experience with the position field. 3 references letters
Salary
Competitive
Posted
9 Apr 2026
Research Engineer/Research Fellow (LLM/VLM, Media Comparison, AI-Assisted Explainability) - IM
Singapore Institute of Technology (SIT)
Singapore
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
Research Engineer (Membrane System) - EA5
Singapore Institute of Technology (SIT)
Singapore
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 deliver on an industry innovation research project where you will be part of the research team to develop a demonstration scale low pressure membrane system in collaboration with Atera Water Pte Ltd. Key Responsibilities Applicants are invited for a Research Engineer in low pressure membrane system (LPMS). Reporting to the Project Principal Investigator (PI), you will assist in all administration matters including overseeing, planning, forecasting, budgeting as well as ensuring the smooth running of the daily operations for the project Assists in co-supervision of final year projects (FYP) or capstone projects students or student helpers under the Project PI. Assist in designing, planning and setting up of a demonstration scale LPMS plant at a site allocated by PUB. Assist in designing, planning and setting up of a lab-scale LPMS plant at a SIT Punggol campus Assist in carrying out of experiment, data logging and analysis of data collected. Work with computational fluid dynamics (CFD) results generated by an expert to correlate with experimental data Assists the PI in drafting of reports, conference proceedings and journal articles based on the outcome of the projects. Prepares and shares fortnightly report of results from the computations with the program director and PI. Support the procurement and maintenance of the software/hardware under the charge of the PI Any other adhoc duties assigned. Requirements The appointee should have a strong foundation in fluid dynamics and understanding of fluid (air and water) flow is important. Appointee should also have experience with design of experiments, carrying out experiments and results analysis. Prior experience working with membrane systems will be a plus. A recognised degree from a good University B.Eng or M.Eng in Mechanical Engineering, Aeronautical Engineering, chemical or environmental engineering Strong foundation in Fluid Dyanmics Able to work independently with strong data analytical skills, communication, and interpersonal skills. Proficient in handling large data sets and the ability to analysis and interpret results Experience with internet of things setup and controller design (PLC or embedded computing) Key Competencies Good self-discipline and motivated to deliver Show strong initiative and take ownership of work Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills
Salary
Competitive
Posted
10 Apr 2026
Research Engineer (Computer Vision - Wildlife Species) - SH1
Singapore Institute of Technology (SIT)
Singapore
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