Universidade Estadual de Mato Grosso do Sul

Full time fixed term until 31 December 2026 in Broken Hill and Wentworth NSW -possible extension subject to Government funding Great opportunity as Lecturer - First Nations Academic for Broken Hill Rural Clinical School - Broken Hill/ Wentworth Campus to undertake teaching in our First Nations portfolio and foster collaborative cross-sector First Nations education and relationships in this diverse region Base Salary $127,436-$151,328+ 17% superannuation About the opportunity The Broken Hill Rural Clinical School (RCS), also known as the Broken Hill University Department of Rural Health (UDRH), is funded under the Commonwealth Department of Health's Rural Health Multidisciplinary Training (RHMT) Program. Our focus at the BHUDRH, is to lead the design and delivery of innovative teaching and learning environments for health students undertaking their placement in our region. We also actively work to improve the quality of health care for rural, remote and First Nations Peoples by fostering local and regional collaborations and enhancing national expertise in health research and the translation of research into policy and practice. Our team is distributed across three campuses Broken Hill, Wentworth and Bourke regions of New South Wales. We are seeking a Lecturer - First Nations Academic to support teaching and placements for Broken Hill and Wentworth region students. You will also assist the Senior Lecturer- First Nations Lead in the BHUDRH region in fostering collaborative cross-sector First Nations community and organisational relationships ensuring that all interactions and engagements with First Nations communities are conducted with respect, authenticity and sensitivity. Your key responsibilities will be to: Build and maintain a reputation for academic excellence through independent and innovative contributions to research and education, expanding knowledge and practice in the First Nations ways of knowing, being and doing. Coordinate and engage in high-quality teaching and learning experiences which meet the university's expectations and standards for education, including cultural supervision. Coordinate local cultural activities, provide training and mentorship to health students and fellow academics. Provide contributions that have a significant impact on teaching, innovation, curriculum development, research training and supervision within the school or faculty. Contribute to a positive workplace culture in which diversity of thought, contribution, collaboration, excellence and achieving outcomes are valued and enabled. Understand and contribute to furthering the university and BHUDRH strategic agenda. Establish partnerships, collaborations and engage in impactful outcomes in research, development, and policy improvement. Undertake other duties and contribute to projects appropriate within the classification level as required. About you deep understanding of rural, remote and First Nations cultural engagement, needs, and aspirations Currently living or willing to relocate to our Broken Hill with the ability to travel frequently to Wentworth Education Doctorate or PhD - In a relevant field OR Other - An equivalent combination of relevant training and experience Only one Field of Study needs to apply. The Education requirements should be considered in conjunction with the Work Experience requirements. Certifications Aboriginal or Torres Strait Islander Identified Skills ability to communicate effectively computer literacy critical thinking and decision making customer Service deliver presentations effectively planning and organisation research current drivers licence Work Experience an established network of academic, industry and professional partners and stakeholders significant experience conducting original research and engaging in scholarly activity significant experience in education design and practice. significant experience in teaching and learning within an established program and in a variety of settings significant experience supervising and mentoring others This position has been designated for Aboriginal and Torres Strait Islander people only under the provisions of section 126 of the Anti-Discrimination Act 1977 (NSW). Applicants will be required to provide evidence to confirm that they are an Aboriginal and/or Torres Strait Islander person as per the University's Confirmation of Identity Policy 2015 To be eligible for this position, you must provide a statement and supporting documentation that addresses how you meet each of the following criteria for Aboriginality: i. be of Australian Aboriginal or Torres Strait Islander descent; and ii. identify as an Australian Aboriginal or Torres Strait Islander; and iii. be accepted as such by the community in which they live or have lived. The University may request further information from applicants as required. Supporting documentation may include, but is not limited to, a letter of Aboriginality signed under the common seal from a recognised incorporated Aboriginal or Torres Strait Islander Community organisation such as Land Council or Elders group, Aboriginal Medical Service or a letter on letterhead from a Local Aboriginal Land Council demonstrating membership of the Council. 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. As this position is located on an NSW Health site, it is a regulatory requirement to complete compulsory employment checks prior to starting in this position. For more information and instructions, please visit: NSW Health employment requirements This position is designated as involving child-related work. To undertake or remain in this position, you are required to apply for and obtain a Working with Children Check clearance in accordance with the Child Protection (Working with Children) Act 2012. 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 Cecilia Blamey, Recruitment Operations by email to cecilia.blamey@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 Thursday 29 January 2026 11:59 PM

Role type: Full time, continuing Faculty: Faculty of Science School: School of Mathematics and Statistics Salary: Professor (Level E) plus 17% super Lead groundbreaking research and collaborate with top-tier researchers. Apply now to shape the future of mathematics and statistics at a leading university. Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website. Your next career opportunity As an academic leader in the School of Mathematics and Statistics, you will spearhead research and educational initiatives that enhance the university's global reputation. You will collaborate with world-class researchers, contribute to innovative programmes, and mentor the next generation of mathematicians and statisticians. This role offers you the chance to make a significant impact in your field while fostering a diverse and inclusive academic community. Your responsibilities will include: Fostering excellence in research: developing and maintaining a distinguished track record of innovative research outputs. Advancing teaching and learning: leading and innovating in the delivery of cohesive courses for undergraduate and postgraduate students. Championing leadership and service: engaging with professional bodies, mentoring staff, and upholding the university's values. Promoting collaborative partnerships: building synergies with other faculties and institutions to enhance research impact. You may be a great fit if: You have a well-established international reputation in mathematics or statistics, with a proven record of innovative research, effective teaching, and academic leadership. You may also: Have a research doctorate in mathematics or statistics with international recognition. Possess a strong track record of attracting research funding and managing projects. Demonstrate exceptional interpersonal skills and the ability to lead and motivate teams. Be committed to fostering a diverse and inclusive academic environment. Have experience in supervising and mentoring research students. For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including: Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Progressive, considerate leave provisions to empower your work-life balance Salary packaging and access to a range of discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - "School of Mathematics and Statistics" The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline. The School of Mathematics and Statistics has a total of 90 continuing teaching and/or research staff; 37 research only staff and consultants; 19 academic specialists and 16 support staff. In 2023, there were 143 Research Higher Degree and 189 Coursework Master of Science students. The School has had 10 staff members inducted as Fellows of the Academy of Science. Infrastructure support for research and basic information technology facilities are provided to all members of the department. Special facilities such as high-end workstations and salaries for research fellows are supported through individual competitive external research grants. Members of the School have had considerable success at attracting support from the Australian Research Council. The school currently hosts one ARC Centre of Excellence and one ARC Industrial Transformation Training Centre, and has hosted four ARC Laureate Fellows, thirteen ARC Future Fellows and twenty-four DECRA Fellows. It is one of the objectives of the University to develop and maintain a strong international profile. In this context, members of the School have strong collaborative links with colleagues worldwide. http://www.ms.unimelb.edu.au Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We believe the diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing reasonable adjustments throughout. We warmly encourage applications from people with disabilities. For assistance, please contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments'). Contact details for other enquiries are located at the bottom of this page. Find more information for applicants requiring reasonable adjustments. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Our Indigenous strategy, Murmuk Djerring outlines our investment and support for Aboriginal and Torres Strait Islander staff and students. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au for further information and support. Please note: Visa sponsorship is available for this position. A Working with Children Check (WWCC) is required for all positions. If successful, we'll guide you through the WWCC application process during onboarding and reimburse the cost. Join Us and unlock your career potential! If this role is right for you, please apply with the following documents: Resume Cover Letter outlining your interest and experience Please note that you are not required to respond to the selection criteria in the Position Description. Learn more about the application process, including tips and FAQs. For recruitment queries, email at snr-talentacq@unimelb.edu.au. Please do not send applications to this email address. For job-specific queries, refer to the contact details in the Position Description. Applications close: 17th March 2026 11:55 PM; Melbourne time zone. Position Description: JR-006483 Professor in Mathematics or Statistics_PD.pdf

About us: We are seeking to appoint a postdoctoral research associate with an excellent track record in semantic technologies and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies.  About the role: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative and agentic AI, as well as AI standards to create trustworthy information resources. This includes the design of algorithms, tools, and process for knowledge workers to better organise knowledge bases and maintain the integrity of their information.  The post holder will work closely with Prof Elena Simperl and a team of 15+ researchers and PhD students in the area of human-centric AI. The role covers research in the areas mentioned above, as well as the production of scientific publications and application showcases to drive research impact. The researcher will be expected to support impact creation activities, including hackathons, workshops, tutorials and to actively contribute to ongoing AI standardisation efforts such as MLCommons Croissant. The research and innovation outputs will inform work undertaken in the group in several large collaborative grants and application areas, including arts and culture, enterprise data management, legal compliance. The ideal candidate will have solid expertise in the technical areas mentioned earlier, as well as a proven track record of scientific excellence (through publications in A and A* conferences and journals) and of open science and FAIR practices (through software, datasets and other research outputs, participation in challenges etc). Familiarity with semantic technologies and neuro-symbolic AI, in theory and practice, is a firm requirement. The post is full-time, but we can discuss part-time options in exceptional circumstances. There is also the option to extend the contract beyond the 18 months provided funding is available. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in computer science, AI or related area Proven experience of semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS, OWL Proven experience with predictive and generative AI Practical experience in using large language models, generative AI techniques, prompt engineering Proven record of A/A* scientific publications and open science/FAIR practices Teamwork skills demonstrated e.g. through project work, organisation of joint events, co-authored papers etc. Time management and organisational skills, including experience in organizing small scientific workshops and similar Desirable criteria Familiarity with the design of AI enabled tools, AI assistants, and agentic AI Familiarity and contributions to Wikipedia and/or Wikidata Understanding and practical experience with FAIR and open science practices Familiarity and contributions to AI or web standards Experience in scientific communication for non-academic audiences Familiarity with one or more of these application domains for neuro-symbolic AI: law, arts and culture, enterprise data management Track record of organising dissemination and community building events e.g. workshops or tutorials co-located with academic conferences Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.  At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university. The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension. We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we m To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary :    £44,105 to £51,485 per annum inclusive of London Weighting    Job ID :    135825 Post Date :    16-Jan-2026    Close Date :    20-Feb-2026 Contact Person :    Elena Simperl    Contact Details :    Elena.simperl@kcl.ac.uk