ISC Paris
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
Postdoctoral Fellow in Stochastic Optimisation
The University of Melbourne
Australia
The University of Melbourne
Australia
Role type: Full time, Fixed Term (3 years) Faculty: Faculty of Science School: School of Mathematics and Statistics Salary: Level A: $85,555 - $116,094 p.a. plus 17% super Level B: $122,212 - $145,121 p.a. plus 17% super ARC funded stochastic optimisation project on correlated restless bandits / collaborate with leading international investigators / develop independent research profile Join us to shape new theory and applications in stochastic optimisation and mentor emerging researchers. Investing in you - 17% superannuation, 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 You will join an ARC Discovery team advancing stochastic optimisation for highly correlated restless bandit models. You will collaborate with leading investigators across Melbourne, RMIT and Spain, developing your independent research profile. You will also co-supervise research students and contribute to teaching within a world-class mathematics school. What you will deliver: Conduct high quality research in stochastic optimisation, focusing on theory and applications of correlated restless bandit models. Collaborate closely with chief investigators and research partners to design studies, analyse results and publish impactful outputs. Prepare and contribute to competitive grant proposals and related research documentation under guidance from senior academics. Co-supervise and mentor postgraduate and honours students, supporting their research training and academic development. Present research at seminars and conferences, and participate in School service, outreach and diversity activities. You may be a great fit if you: Hold or submit a PhD in mathematics, optimisation, stochastic modelling or a closely related quantitative discipline. Demonstrate strong expertise in stochastic optimisation, including experience applying advanced methods to complex modelling problems. Bring experience contributing to research projects, from problem formulation to analysis, publication and dissemination of findings. Contribute to supervision or mentoring of undergraduate or postgraduate research students in mathematical or related fields. Work effectively within collaborative research teams while also progressing individual projects with limited supervision. Communicate research clearly in English, both in writing and presentations, to academic and broader audiences. 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 fulfilment, including: Build future financial security with 17% superannuation Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company 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 Joining the School of Mathematics and Statistics, you will contribute within one of Australia's leading mathematical sciences communities. The school hosts numerous ARC-funded centres and fellows, with outstanding infrastructure and strong international research collaborations. Within the Faculty of Science, you will join a diverse, supportive environment that values curiosity, excellence and inclusion. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. 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 adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au. Application essentials: Visit "apply with us" to learn more about the process, including tips and FAQs. This role is eligible for visa sponsorship and we welcome international applicants. If successful, we will support you through this process. A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you. Please upload your resume and a cover letter outlining your interest and experience as part of the application process. Please upload your responses to the Selection Criteria, found in the Position Description. Want to know more? For queries related to this specific position or for questions related to our recruitment process email Lachlan Bryce at hr-careers@unimelb.edu.au For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments'). Apply today, and join a community that's shaping the future. Applications close: Saturday 11 July 11:55 PM; Melbourne time zone. Position Description: JR-013912 Postdoctoral Fellow in Stochastic Optimisation_PD.doc JR-013912 Postdoctoral Fellow in Stochastic Optimisation_PD.pdf
Salary
$85,555 - $145,121 p.a. plus 17% super
Posted
11 Jun 2026
Research Systems and Information Officer
Durham University
United Kingdom, Durham
Durham University
United Kingdom, Durham
The Role and the Department Research and Innovation Services (RIS) provides guidance, expert advice and hands-on support for all aspects of research and research-related work, including securing funding, working with partners, undertaking knowledge exchange, demonstrating impact, commercialising outputs, ensuring good research practice and supporting professional development. This post sits within the Policy, Systems and Performance team in Research & Innovation Services (RIS). The team is responsible for the University's research information management systems, the overall governance and ethical framework for both funded and unfunded research & research related activities across the institution, support for institutional strategy development and the compilation of relevant returns including HEBCI, KEF, KEC and REF , as well as management information reporting relating to university research and knowledge exchange (RKE) activities. As Research Systems and Information Officer you will contribute to the implementation and development of the RIS RKE systems as well as training and communications about these systems across the University. Current research systems include Worktribe Research Management, Infonetica Ethics RM, and Dynamics CRM. You will contribute to ensuring our research systems are configured in the most optimal and user-friendly way and that any associated training and communications will be delivered in a clear, concise and timely manner. You will analyse research data and develop and present reports to key stakeholders You will report to the Senior Manager - Research Systems and Reporting but will work closely with colleagues across the Research and Innovation Services Directorate as well as colleagues in faculties, departments and across professional support services. It is essential that as Research Systems and Information Officer you are highly organised and pay close attention to detail. The capability to prioritise and manage a busy and varied workload is crucial. The ability to work across business-as-usual activities and multiple concurrent projects at different stages of development is essential. This role is suitable for hybrid working. The base location for this role is Boldon House, our exciting new professional services hub.Boldon House is situated on the outskirts of Durham near the Arnison Centre in Pity Me. Boldon House brings a number of professional services teams together in a vibrant office environment which supports collaborative working and is designed to embrace hybrid working.
Salary
£31,236 - £37,694 per annum
Posted
12 Jun 2026
Senior Teaching Laboratory Technician
University of Southampton
United Kingdom, Southampton
University of Southampton
United Kingdom, Southampton
The School of Physics and Astronomy is seeking a Senior Teaching Laboratory Technician with the knowledge, practical skill and management ability to support the delivery of a high-quality student experience in our teaching laboratories. The University of Southampton is a world-leading, research-intensive university with a strong and high-quality educational offering. We are renowned for our innovation and enterprise and are a founder of the prestigious, research-led Russell Group of universities. The successful candidate will be able to provide effective and efficient technical support in Physics & Astronomy undergraduate teaching laboratories through the design, set-up, maintenance, testing and demonstration of laboratory experiments. The role involves specialist support and managing the running of the laboratories, maintaining and updating experiments as required. This also includes demonstrating to students and staff, and good understanding of physics and experimental method is advantageous. Working independently or with minimum levels of direct supervision is important, as is being able to ask for help when it’s needed. Good communication skills and team work are essential. Hands on working, guiding students to reach their potential will be at the heart of what you do. During the teaching term, you will ensure the experiments are running smoothly and help the students understand how to get the most out of them. Term breaks are a great time to get “stuck in”, take model data, design and improve experiments or the lab environment following your passion and interests to further improve the learning experience of our students. You will be passionate about education as well as you will be adept at communicating to a diverse range of individuals from varying backgrounds, ensuring that inclusivity is part of everything you do. As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. Working at the University of Southampton gives you access to a wide range of benefits in addition to our competitive rates of pay. Our core benefits include pension scheme membership; a generous annual leave allowance (supplemented by University closure days and public holidays) and excellent family leave arrangements (including maternity, paternity, adoption and parental leave). The University of Southampton is a signatory of the Technician Commitment and a partner affiliate of the National Technician Development Centre (NTDC). We are committed to supporting our technical staff and offer a wide range of opportunities including networking, mentoring, training, professional registration and career development. We really value all our technical staff and recognise the broad range of skills they have in support of education, research and enterprise activities. By joining Southampton you will be part of a bigger technical community, offering support and guidance. For more information about the job, please contact Sanja Barkovic s.barkovic@soton.ac.uk
Salary
£36,636 to £44,746 Per annum
Posted
12 Jun 2026
Research Engineer (Federated Causal Inference in Heterogeneous Data Environments) - UP
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. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. 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
11 Jun 2026
Senior Policy Advisor
The Australian National University
Australia, Canberra
The Australian National University
Australia, Canberra
Classification: Senior Manager 1 (Administration) Salary package: $138,182 - $144,783 per annum plus 17% superannuation Terms: Full time, Continuing Position Description and Selection Criteria: PD_PEWER_SM1 Senior Policy Advisor_FNP.pdf About Us The First Nations Portfolio (FNP) works with colleagues across the University to ensure ANU is a leader in teaching and research of First Nations issues. It also works to ensure that the University makes a leading contribution to national policy in the relationship between Indigenous Australians and the nation. FNP provides an environment for debating significant and strategic issues and seeks to partner with communities, their representative organisations and enterprises to further the status, recognition and lives of Indigenous peoples. Achieving this outcome requires constant attention to impact, engagement and partnership with First Nations communities, and a commitment to innovative and multidisciplinary approaches to our work. This role will work closely with the teams from two portfolio Centres: Wiyi Yani U Thangani Institute for First Nations Gender Justice and the Centre for Indigenous Economic Transformation. The Role The Senior Policy Advisor role connects policy development, research, knowledge and practice to drive effective and sustainable outcomes for Indigenous Australians. Of critical importance is partnering with First Nations communities and their organisations to support and inform the choices that best reflect them on their journey to self-determination and self-governance. The role requires sound judgement, strong interpersonal capability and the ability to synthesis complex information quickly and clearly. Operating in a high-trust environment, the Senior Policy Adviser will engage closely with senior leaders across the University, government and external stakeholders, while managing sensitive matters with professionalism and care. The successful candidate will be an experienced adviser with a demonstrated ability to operate effectively in complex organisational environments. They will bring exceptional written communication skills, strong analytical capability and the ability to provide clear, practical and proportionate advice in situations that are often ambiguous, fast-paced and high profile. For further information please contact Sarwat Maqbool, FNP Head of Operations, sarwat.maqbool@anu.edu.au or 02 6125 8822 This is a rare opportunity to contribute directly to the University’s strategic priorities while working at the FNP. Aboriginal and Torres Strait Islander people are strongly encouraged to apply. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion Application information In order to apply for this role please make sure that you upload the following documents: A statement addressing the selection criteria (no more than two pages). A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form. Other documents, if required. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing Date: Thursday 25 June 2026, 11:55pm (Canberra Time)
Salary
$138,182 - $144,783 per annum plus 17% super
Posted
11 Jun 2026