Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Fortaleza
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Senior Research Fellow - Neuroscience Future Leader
The University of Sydney
Australia, Concord
The University of Sydney
Australia, Concord
Full - time, fixed term opportunity for three years Exciting opportunity to be a Senior Research Fellow with the University of Sydney Base Salary starting at $156,103 + 17% superannuation About the opportunity We are seeking a Senior Research Fellow - Neuroscience Future Leader to establish and grow an independent research profile while contributing to high-impact research within the discipline. The role involves leading innovative research programs, securing competitive funding, and providing leadership that strengthens the university's reputation as a national leader in neuroscience research. Your key responsibilities will be to: build and maintain a reputation for academic excellence through independent and innovative contributions to research, expanding knowledge and practice in the discipline disseminate research knowledge and facilitate knowledge transfer to drive impact maintain a strong research profile, including publication in academic or professional journals and delivering keynote presentations lead successful competitive research grants and generate research income through diverse funding opportunities maintain quality, standards and excellence in research activities and outputs provide mentoring and guidance to lower-level academics make a significant contribution to research, administrative and governance activities, including participation in committees and academic boards contribute to a positive workplace culture in which diversity of thought, collaboration, excellence and achieving outcomes are valued and enabled understand and contribute to furthering the university and faculty or school strategic agenda undertake other duties and contribute to projects appropriate within the classification level as required. capacity to work effectively with the Neurology Department at Concord Repatriation General Hospital, contributing specialist skills in neurology focused research areas such as neurogenomics, neuroimmunology and precision neuroscience. About you PhD and academic qualifications in a relevant field significant experience conducting original research and engaging in scholarly activity significant experience supervising and mentoring others, including supervision of PhD students to completion. an established network of academic, industry and professional partners and stakeholders a national reputation as influential in expanding knowledge within the discipline strong understanding of strategic issues in the higher education sector ability to build and leverage partnerships to enhance the standing of the faculty and university. demonstrated laboratory expertise supporting high quality research, diagnostic investigation and mechanistic discovery. extensive experience working in close collaboration with neurologists and multidisciplinary clinical teams. strong engagement in translational research that bridges laboratory findings with clinical application and patient impact. proven record of securing competitive research funding and providing effective curation and stewardship of grant supported programs. Sponsorship / work rights for Australia Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Tuesday 14 April 2026 11:59 PM
Salary
$156,103 + 17% superannuation
Posted
10 Apr 2026
GSMI - Postdoctoral Researcher – Potash Brine and Phosphogypsum Valorization
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Position Title: Postdoctoral Researcher – Potash brine and phosphogypsum valorization. Duration: 12 months. Position Summary: We are seeking a highly motivated and technically skilled postdoctoral researcher to join a multidisciplinary research project dedicated to the sustainable valorization of potash brine and phosphogypsum, with a specific focus on bioleaching technologies. The successful candidate will contribute to advancing the use of environmentally friendly bioleaching techniques for the extraction of valuable resources from these industrial by-products. The project embedded in a circular economy approach aimed at reducing environmental impacts while creating value from industrial co-products, namely phosphogypsum and residual brines generated by sedimentary potash processing activities. The postdoctoral researcher will investigate the valorization of each material separately through physicochemical and biological approaches, with the objective of identifying optimal pathways for resource recovery. The project will also focus on the combined treatment of phosphogypsum and brines, studying the synergistic and symbiotic effects arising from their interaction within integrated bioprocesses. This work will contribute to the development of innovative and sustainable strategies for the recovery of sulfur, magnesium, potassium and other valuable elements from industrial residues. Area of Research: Valorization of industrial by-products derived from sedimentary potash processing and phosphoric acid production. The research will involve physicochemical and biological treatment approaches for potash brines and phosphogypsum, as well as the development of integrated processes exploiting potential synergistic effects between both materials within a circular economy framework. Main responsibilities: Conduct a comprehensive literature review on potash brine management, phosphogypsum valorization, and related physicochemical and biological processing routes. Perform chemical, mineralogical, and physicochemical characterization of potash brines and phosphogypsum. Design and carry out laboratory-scale experiments to investigate separate valorization pathways for brines and phosphogypsum; Develop and evaluate integrated treatment strategies combining both materials, with particular attention to synergistic and symbiotic effects; Study process parameters affecting the recovery of sulfur, magnesium, potassium, and other valuable elements; Analyze, interpret, and synthesize experimental results to support process optimization; Contribute to the assessment of the environmental and sustainability performance of the developed processes; Prepare scientific publications, technical reports, and presentations; Candidate Profile: Required qualifications : PhD in chemical Engineering, biotechnology or related discipline. Proven experience in mineral characterization, liquid analysis and process development; Strong background in solution chemistry and bioprocessing; Excellent analytical and problem-solving skills; Strong scientific writing and communication abilities in English; Ability to work both independently and within a collaborative research environment. Application Documents: Interested candidates should submit the following documents: Cover letter Detailed CV List of publications Copies of diplomas Professional references (minimum of 2)
Salary
Competitive
Posted
9 Apr 2026
Assistant Professor in Sustainable Urbanism
University of Nottingham Ningbo, China
China, Ningbo
University of Nottingham Ningbo, China
China, Ningbo
Join a unique British University in China. The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 10,000 in just 22 years. It is looking for ambitious, talented academics with a passion for teaching as well as research flair to join its team of science and engineering experts. UNNC is part of the University of Nottingham’s Global University, and offers unique teaching and research opportunities in a highly dynamic economy. The successful candidate will be expected to lead and deliver individual and collaborative research and teaching in the area of Urbanism, with a focus on Urban Development, Smart Cities, and Sustainability, and contribute to the direction of research programmes in the Department of Architecture and Built Environment. They will be responsible for generating new intellectual understanding/knowledge through the application of knowledge and for developing ideas for application of research and teaching outcomes. The role involves designing and delivering instruction in Urbanism and Sustainable Environments, emphasising pedagogical innovation and critical engagement with urban challenges. Key responsibilities include teaching: Sustainable Urbanism Project, Smart Cities, Advanced Innovations in Cities, and Urban Systems and Techniques. Required expertise: Leading urbanism studios blending theory with project-based learning. Knowledge of Sustainable Urbanism (low-carbon design, climate adaptation), Smart Cities (digital twins, AI-driven planning), and technical tools (GIS, CIM, urban analytics). Must integrate research with teaching, mentoring students in methodologies like life-cycle assessment and scenario planning. Commitment to interdisciplinary collaboration across urban design, policy, and technology to advance global sustainability goals. The appointed candidate will also lead major research projects as a principal investigator, spearheading funding bids and developing innovative methodologies in relevant areas. Candidates must have a PhD degree in a closely related field, proven experience in teaching and curriculum development within the higher education sector, and a growing national or international reputation in their field, demonstrated by a strong publication record. Strong communication skills, with the ability to explain complex concepts clearly to diverse audiences, and a commitment to fostering an inclusive and innovative learning environment are also essential. Salary will be within the range of RMB 450,190 to RMB 592,815 per annum, depending on qualifications and experience. In addition, an attractive package including employment support allowance, schooling and insurance will be provided for international appointments. The post will initially be offered on a fixed term contract with the University of Nottingham Ningbo China for a period of up to 5 years with effect from September 2026 or thereafter as soon as possible. This contract may be extended by mutual agreement, subject to revised terms and conditions. Interviews will take place in Ningbo, China, if feasible – virtual interviews may also be held. Please be advised that normally your references will be contacted prior to the interview. How to Apply Full applications must be submitted via the application link: https://jobs.nottingham.edu.cn/job/184537 before 11 May 2026 , 23:59 Beijing Time. A full application shall include the applicant’s English CV, teaching statement, publication list and three contacts for references. Late submissions or incomplete applications will not be considered for shortlisting. Enquiries Informal enquiries regarding these vacancies may be addressed to: Dr Edward Cooper (Edward.Cooper@nottingham.edu.cn), Head of Department of Architecture and Built Environment., University of Nottingham Ningbo China. Please note that applications sent directly to this address will not be accepted. If you are unable to apply online please contact the Human Resources Department, Tel: 86 574 8818 000 (Ext. 6551), Email: Job@nottingham.edu.cn and quote 184537 with the screenshots of the issues if possible.
Salary
RMB 450,190 to RMB 592,815 per annum
Posted
10 Apr 2026
Data Manager
Adelaide University
Australia, Adelaide
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
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