Rutgers University–New Brunswick

Position Details Full Time | Continuing (This position will be research-only for the first 5 years of appointment, followed by a continuing teaching and research position) Academic Level D I AU$169,706 - $186,706 plus 17% Superannuation I View Position Description Academic Level E | AU$217,876 plus 17% Superannuation I View Position Description Location: Tonsley / Kaurna Country /Australia View Candidate Brochure About the Role: Applications are encouraged from candidates working across the broad field of critical engineering technologies, preferably with a strong background in mechanical or electronic and electrical engineering. Relevant areas may include advanced manufacturing, robotics and autonomous systems, cyber-physical systems, sensing and instrumentation, resilient infrastructure, energy systems, embedded and intelligent systems, communications technologies, control systems, smart materials, modelling and simulation, mechatronics, and integrated engineering systems with applications across industry, defence and infrastructure. The role is appointed initially as a research-only position for five years, transitioning to a continuing Teaching and Research appointment. The Professorial Research Fellow will provide leadership and vision in: Setting strategic research directions and goals for the area. Expanding research through external grants and contract income. Engaging with industry, government, and other external organisations. Strengthening research collaborations internally and externally. Contribute to research translation, commercialisation, and capability development Supporting recruitment and mentorship of Higher Degree Research students and research fellows. About You: You are an accomplished and collaborative research leader with expertise in engineering and critical technologies. You are driven to deliver impactful and innovative research outcomes and have a demonstrated ability to build high-performing research environments and strategic partnerships across academia, industry, government, and defence sectors. You will have: A PhD in Electronic and Electrical Engineering, Mechanical Engineering, or a related field aligned with critical national technologies. A distinguished international research reputation, demonstrated through high-quality publications, significant grant success, and impactful research outcomes. Proven leadership experience in a senior academic or research role, including managing teams, complex projects, and fostering research excellence. A strong track record of mentoring early- and mid-career researchers and supervising Higher Degree Research students to completion. Ability and willingness to obtain and maintain an Australian Government NV1 Security Clearance or higher This position provides relocation and visa support. Domestic and international candidates are welcome to apply. About the College of Science and Engineering At the College of Science and Engineering we believe in the power of science and engineering to solve real world problems. Our vision is to provide internationally recognised science and engineering education programs that are accessible, student centred, innovative and impactful. As well as being globally recognised for our research to advance science and engineering by creating new technologies that make our world more connected, secure, healthy, and sustainable. We seek to understand the past, but also to create the world of the future. Our College is an exciting place to research, study, and work, supported by best practice teaching methods, practical work-related learning, and advanced facilities. Why Flinders University? At Flinders University, we embrace and celebrate diversity and are committed to achieving gender equality in employment by identifying and removing any discriminatory employment barriers and taking action to promote gender equality in the workplace. We have been awarded Institutional Bronze Accreditation in the SAGE Athena SWAN program, recognising the University’s ongoing efforts towards achieving gender equity. Ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders?  Ranked in the top 2% of universities worldwide. Ninety per cent of Flinders research has been ranked at ‘world standard or above’ by Excellence in Research for Australia (ERA). 17% Superannuation + salary packaging options  Flexible working arrangements  Wide range of professional development activities, funds and services, such as Flinders University’s Researcher Development and Leadership Programs. Our Commitment to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples. We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies. Prescribed Conditions for Employment Flinders University is committed to providing a safe, respectful and inclusive environment, free from gender‑based violence. Appointment to this role is conditional on the completion of required pre‑employment checks and declarations, each of which must be satisfactory to the University. This includes a Gender‑Based Violence declaration, in accordance with the National Higher Education Code to Prevent and Respond to Gender‑Based Violence (2025), and a Nationally Coordinated Criminal History Check. A criminal record will not automatically disqualify a candidate from consideration. Each case will be assessed on its individual merits and relevance to the inherent requirements of the role. This position may require the successful applicant to hold (or be eligible to obtain) an NV1 (Negative Vetting Level 1) Security Clearance. How to Apply and Information You are required to submit a CV and a three-page Suitability Statement addressing the key position capabilities of the relevant position description – Level D | Level E For more information regarding this position, we strongly encourage you to please contact Professor Mark Taylor Applications to be submitted before 10:00 pm (ACST) on Friday, 26 June 2026. Please note, late applications and applications sent via agencies will not be accepted. At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Certification Applications to be submitted before 10.00pm: 26 June 2026 At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Flinders. Fearless.

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? To strengthen our team, we are seeking a university assistant to develop advanced machine learning and artificial intelligence methods. University assistant predoctoral - PhD position in Probabilistic and Interactive Machine Learning 39 Faculty of Computer Science Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 5376 Your personal sphere of influence: The working group “Probabilistic and Interactive Machine Learning” within the research group “Data Mining and Machine Learning” at the Faculty of Computer Science, led by Prof. Sebastian Tschiatschek, develops foundational methods in machine learning and artificial intelligence. We focus particularly on the areas of reinforcement learning, interactive learning, and deep probabilistic models. While modern reinforcement learning (RL) has achieved remarkable success, it remains limited when applied to complex, open-ended, or poorly defined environments. Two of the most critical bottlenecks in contemporary AI are sample inefficiency, often caused by the lack of intelligent, structured exploration, and the "reward engineering" problem, where designing an explicit scalar reward function that captures desired behavior is incredibly difficult or impossible. Furthermore, as AI systems are deployed in more complex environments, the challenges of AI alignment (ensuring systems behave according to human preferences) and constrained learning (adhering to strict safety, legal, or physical boundaries) become important. This position is dedicated to addressing these core challenges by advancing the frontiers of Inverse Reinforcement Learning (IRL), exploration, and safe/aligned AI.                       Your future tasks: You actively participate in research, teaching & administration, which means: You will contribute to academic research projects in the above-mentioned areas. You will work on scientific articles and publish your research results. You will participate in academic conferences to present your research. We expect you to conclude your dissertation agreement within 12 months. You will work on your dissertation and bring it to completion. You will take on teaching responsibilities as specified by the collective agreement. You will support the supervision of students’ projects and theses. You will undertake administrative duties in research, teaching, and university administration, and support the organization of workshops, conferences, and symposia. This is part of your personality: Completed Master's degree (or comparable degree) in computer science, data science, mathematics, communication engineering, or a related field (Applications from candidates close to completion are welcome. Employment can only begin once the Master´s degree has been awarded.) Excellent command of English Outstanding written and oral communication skills Strong ability to collaborate within research teams Perseverance and a proven ability to bring projects to reliable completion High motivation and commitment to scientific excellence Willingness to travel, including participation in national and international conferences Solid knowledge of machine learning and artificial intelligence (in particular in the areas of bandits and reinforcement learning) Strong programming skills, preferably in Python. Experience with deep learning frameworks such as Jax, PyTorch, or TensorFlow. Excellent analytical skills and strong interest in developing a deep understanding of algorithms and methods Cooperative, team-oriented, and proactive working style The following are also desirable: Experience with research methods in the field of machine learning and artificial intelligence, as well as scientific writing Excellent academic record, ideally with initial research results in the area of the position, documented by publications or manuscripts in preparation Experience in university teaching International experience What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.  Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Tenure: The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. It is that easy to apply: Academic curriculum vitae  Letter of motivation including your project ideas (and description of your teaching experience, if available) Abstract of Master´s Thesis Degree certificates Transcript of records List of publications, evidence of teaching experience (if available) If you have any questions, please contact: Sebastian Tschiatschek sebastian.tschiatschek@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 06/06/2026 Prae Doc

Description We are inviting applications for a Post-Doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in demography, epidemiology, public health, or a related discipline in the social sciences. The appointment will begin September 1, 2026, subject to final budget approval and is available for up to three years. The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professor Stéphane Helleringer. The collaborative research will be on population health and its determinants in low-and-middle-income countries, with an emphasis on measurement issues and the impact of crises such as epidemics and disasters. The job entails conducting high-quality research on population health and its determinants in low-and-middle-income countries. This includes conceptualizing research questions, designing empirical studies, collecting or acquiring new data sets, and analyzing these data using advanced statistical models and visualization techniques. The job also emphasizes the dissemination of knowledge about population health, particularly through the preparation of peer-reviewed manuscripts, software packages and/or participation in international conferences. Candidates must hold a PhD in demography, epidemiology, public health or related discipline in the social sciences. The ideal candidate is preferred to have prior experience with data collection and collaboration in low-and-middle-income countries and good knowledge of R or other software for data management, analysis and visualization. The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and 70 faculty in the Division of Social Science. For consideration, applicants must submit a cover letter, curriculum vitae with full publication list, transcript, statement of research interests and the names of two referees, all in PDF format. If you have any questions, please email Professor Helleringer at sh199@nyu.edu. The review of applications will start on February 1st, 2026, and will continue until the position is filled. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply.