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Job No.: 687376 Location: Clayton campus Employment Type: Full-time  Duration: Continuing appointment  Remuneration: $123,138 - $146,228 pa Level B / $150,841 - $173,931 pa Level C (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them This is a special measures role, and only women applicants are eligible to apply as per section 12 of the Equal Opportunity Act 2010 (Vic) and section 7D of the Sex Discrimination Act (Cth). The Opportunity The Faculty of Science is seeking an outstanding academic to join the School of Earth, Atmosphere and Environment to strengthen geoscience research and education. The Lecturer / Senior Lecturer will develop excellence in research and education in any sub-discipline of geoscience. We are seeking candidates who bring innovative perspectives and new research directions, building on and extending existing strengths within the School. We are particularly interested in geoscientists who are able to integrate detailed field observations with quantitative and/or analytical approaches to investigate the physical and/or geochemical processes recorded in rocks across a range of geological settings. People who can translate these skills into highly quality teaching are particularly well suited to this role. This role offers you the platform to blend high-impact geoscience research with innovative teaching, all within a prestigious Go8 university that actively champions diversity and supports your long-term career progression. About Monash University and the Faculty of Science Monash University is one of the prestigious Group of Eight (Go8) universities, the leading research-intensive universities in Australia. Our Faculty of Science is thus one of the world’s leading science faculties. We’re also strong advocates for equity, diversity and inclusion in every form and we actively champion women in Science – leading the way when it comes to the gender equity principles of SAGE Athena Swan. So when you work with us, you can be sure that you’re in an organisation that truly supports your success through continual development and growth opportunities and support for parents, carers, mental and physical health, wellbeing and more. These include health insurance discounts, parenting facilities, easily accessible and ongoing training and leadership programs in teaching and research – and dedicated groups like the STEMM Women Academic Network. If statistics are of interest to you, the QS World University Rankings by Subject 2026 list us as: Geology: 47th in the world Geophysics: 47th in the world Geography: 51st -100th in the world Environmental Sciences: 52nd in the world The Faculty of Science is led by empathetic and strong leaders. We champion equity, diversity, and inclusion to drive initiatives that help develop future leaders, we have a women of EAE mentoring program and we are redefining what scientific excellence looks like. The Faculty of Science deeply values women rising stars, students, and alumni and supports Monash wide initiatives such as the Advancing Women's Success Grant and championing accessibility, and much more. With a reinvigorated strategic plan and evolving vision, we’re looking for enthusiastic, collaborative, like-minded people who are keen to be part of our drive to lead research and inspire the next generation of earth, atmospheric and environmental scientists. At Monash, work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen. We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy. In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026. Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.  Learn more about Monash. Today, we have the momentum to create the future we need for generations to come. Accelerate your change here. Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents. To Apply Only women are eligible to apply. The women only requirement is a temporary special measure under section 12 of the Equal Opportunity Act 2010 (Vic) and section 7D of the Sex Discrimination Act (Cth). This position aims to address the underrepresentation of women in this field and to achieve substantive equality within the Faculty of Science at Monash University. Please include the following in your application: a CV and four documents that together address the selection criteria:  Cover letter Research statement (no more than 2 pages, addresses KSC 2 & 3) Teaching statement (no more than 1 page, addresses KSC 4 & 5) Equity, Diversity and Inclusion Statement (no more than 1 page, addresses KSC 6-8) For instructions on how to apply, please refer to 'How to apply for Monash Jobs'. Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people and people of all sexual orientations. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor Andrew Mackintosh, Head of School, School of Earth, Atmosphere and Environment, andrew.mackintosh@monash.edu Position Descriptions:  Lecturer - Level B Senior Lecturer - Level C Applications Close: Tuesday 21 July 2026, 11:55pm AEST

We are recruiting postdoctoral researcher for a fixed term contract between 1.9.2026-31.8.2028 for the Research Council of Finland funded Academy Research Fellow project Metaphysics, Ethics, and Epistemology of Risk. Starting date is flexible, but the end date is set. Project Risk judgments play a pivotal role in human societies. By acting in the world we inevitably take risks and impose them on others. Risk is connected to normative practices. For instance, whether a war against a state suspected of sponsoring terrorism is morally justified depends in part on whether it minimizes the risk of future terrorist attacks. It is often proper to blame someone for imposing unnecessary risks on us, such as transporting hazardous materials without taking proper safety measures. Plausibly, whether one knows a proposition depends on how high the risk of forming a false belief is. But what exactly is risk, and why is it of normative significance? In the research project ‘Metaphysics, Ethics, and Epistemology of Risk’ new insights about how we should understand risk are applied to a wide range of ethical and epistemological questions. The postdoctoral researcher’s work is expected to focus on epistemological questions where the notion of risk can be utilized, such as ‘can knowledge be understood in terms of risk?’, ‘are closure principles compatible with an anti-risk conception of knowledge and justification?’, ‘what kind of structural properties does an anti-risk epistemology predict for knowledge?’, ‘do iterations of knowledge accumulate risk?’, ‘should disinformation be understood as information that incurs epistemic risks on others?’, ‘what is the connection between risk and certainty?’, and ‘what kind of insight does anti-risk epistemology have regarding pragmatic encroachment?’. In addition to the to be hired postdoctoral researcher the project team consists of the PI (Jaakko Hirvelä), whose work focuses on the metaphysics and epistemology of risk, and a postdoctoral researcher (Oskari Sivula) who works on ethical questions related to risk. The project runs in tandem with another research project on risk (‘The Structure and Nature of Risk’, PI Jaakko Hirvelä), which houses an additional postdoctoral researcher (Pablo Zendejas Medina) working on the philosophy of risk. The project team will conduct research into the nature of risk, and apply philosophical theories of risk to epistemological and ethical issues. The primary methods of the research project are philosophical analysis and model-building. Responsibilities The main task of the appointed researcher is to conduct research into epistemological issues where the notion of risk plays an essential role. The postdoctoral researcher is expected to participate in weekly project meetings, and in the general research seminars held by the philosophy unit in Helsinki. The postdoctoral researcher will help organizing conferences, seminars, and workshops. In addition, the postdoctoral researcher will actively contribute to teaching and administrative tasks in the discipline of theoretical philosophy at the University of Helsinki (up to 5% of their working time annually), and assist in preparing new research proposals. In practice the teaching load is one course a year and supervision of master’s and bachelor’s thesis. It is possible to complete the teaching and administrative tasks through English. Requirements for the position and assessment of qualifications According to the Regulations of the University of Helsinki, an appointee to the position of postdoctoral researcher shall hold a doctoral degree and have the ability to conduct independent scholarly work as well as the teaching skills necessary for the position. The appointee will have relevant specialization in epistemology (expertise in logic, decision theory, metaphysics and ethics count in favour of the applicant). The default assumption is that the doctoral degree requirement must be met by the beginning of the employment. Applicants must have strong philosophical writing skills and excellent command of written and spoken English. When assessing applicants’ qualifications, attention will be paid to international academic activities, including high-quality peer-reviewed publications, and the quality of the research proposal. The position is filled with a six-month trial period. What we offer The salary for the position will be based on level 5 of the job requirement scheme for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance. The annual gross salary is €42,000 - €49,000. In Finnish universities, the teaching and research staff (app. 65% of total staff) have a special system regarding the free time equivalent to holiday. They belong to the 1,612 annual working hour system, in which the annual amount of paid holiday is app. 5-6 weeks on average per year. The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and life in Finland. More information here: https://www.helsinki.fi/en/about-us/careers/welcome-finland-information-arriving-staff How to apply The application must be accompanied by the following documents in PDF format: Applicants are requested to enclose with their applications the following documents in English: their curriculm vitae (max 4 pages), a two-page research plan detailing their planned research and how it connects with their previous work, and one writing example (max 8000 words), and the name and contact information of one referee.  Shortlisted candidates will be interviewed and final decisions will be made in August. Other attachments, including letters of recommendation or certificates, are not required at this point. We expect that you will send us a self-written application that reflects your own voice and thoughts. Applications generated by artificial intelligence do not meet our expectations. Applications must be submitted through the University of Helsinki electronic recruitment system by clicking on the link below. Current employees of the University of Helsinki must submit their applications through SAP Fiori’s Suffeli recruitment portal. Applications must be submitted by 31.7.2026. Further information about the position can be obtained from Jaakko Hirvelä (jaakko.hirvela@helsinki.fi) Further information about the recruitment process can be obtained from recruitment@helsinki.fi. A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers

The Role and Department The successful candidate will be based in the Department of Computer Science, Durham University - ranked in the top 10 for Computer Science, Complete University Guide 2025 (Durham University ranked 5th overall). The Department holds an Athena Swan Silver award, highlighting its commitment to promoting equality across in Science, Engineering and Technology. In the UK REF 2021 research assessment exercise, 97% of our research outputs were classified world-leading or internationally excellent (REF 2021). The Department of Computer Science hosts well-equipped labs with on-site capabilities comprising vehicle-mounted sensors, drone operations, on/off-road robotics, high-precision geo-localisation, bio-signal data collection, X-ray security scanning, virtual reality and on-demand wide-area surveillance video feeds. In addition Durham University hosts the UK regional supercomputer Bede (128 NVIDIA V100 + 3 NVIDIA Hopper GPUs) in addition to the pan-university Hamilton GPU resource (8 NVIDIA H200 NVL) which both complement our departmental NVIDIA CUDA Compute Cluster (80+ GPUs up to NVIDIA A100) to cater for the increasing GPU compute demands of modern AI-driven research projects. Applications are invited for a full-time Research Assistant in Computer Vision and Machine Learning (Visual-AI) with a particular emphasis on deep learning for anomaly and out of distribution detection. The post-holder will join Prof. Toby Breckon's research team at Durham University, for an initial fixed-term period of 24 months, funded by an ongoing portfolio of research work primarily spanning aspects of open-world object detection and anomaly/outlier detection for use in both wide-area visual surveillance, aviation security and sensing for future autonomous vehicle/robot sensing (in collaboration with a number of partners). The successful applicant will be expected to to work on common themes of deep machine learning research with applications across several active research streams within the group. They will consider the use of cutting-edge deep learning algorithms for object detection and tracking, anomaly detection and other generalized data understanding tasks (e.g. behaviour understanding and/or materials discrimination) across a range of imaging modalities. Specifically, they will investigate novel aspects of these tasks, develop software algorithms, and manage their own academic research in addition to collaboration with a range of external industrial and government collaborators. The post the offers an outstanding opportunity to gain a strong research track record in an exciting and fast-moving area of applied computer vision and machine learning whilst working in an environment with high levels of external collaboration and industrial research impact.