Warsaw University of Technology

Full-time, fixed-term opportunity until February 2027, based at the Chris O'Brien Lifehouse, Camperdown Join the NHMRC Clinical Trials Centre to lead strategic clinical trial delivery and drive excellence in clinical trial operations, influencing best practice and supporting research with a global impact Base Salary $146,197 - $154,260 + 17% superannuation About the opportunity The NHMRC Clinical Trials Centre (CTC) is a flagship centre of excellence in clinical trials and related research at the University of Sydney. We design and deliver trials and related research, including coordination, monitoring, data acquisition and management, and statistical analysis. Our health economics, biostatistics, systematic reviews, and biomarker teams work with trial data to inform healthcare providers about best practices. The Clinical Trials Program Manager plays a pivotal leadership role within the CTC, providing strategic, operational and managerial oversight of complex clinical trials across their directed area of responsibility. Working under broad direction from the Associate Director, Clinical Trial Operations, this role oversees the design, establishment and delivery of clinical trials, ensuring the highest standards of quality, compliance, governance and performance are maintained. With responsibility for financial oversight and resource management, the role contributes to budget development, expenditure monitoring and funding opportunities, supporting the sustainability and growth of CTC's clinical trial portfolio. Drawing on extensive clinical trial expertise, the Program Manager provides trusted advice, exercises independent judgement and contributes to the development of systems, procedures and strategic initiatives that enable the successful delivery of impactful clinical research. Your key responsibilities will be to: Provide strategic and operational leadership of clinical trial operations, including trial prioritisation, feasibility, planning, resourcing, oversight, and compliance within the directed area of responsibility. Lead, manage and develop clinical trial operations staff, including performance management, workforce planning, recruitment, capability building, and fostering a high-performing, ethical and collaborative team culture. Establish, manage and maintain strong internal and external stakeholder relationships, including investigators, collaborative trial groups, funding bodies, partners, and CTC leadership, ensuring effective governance and reporting. Ensure high-quality, compliant conduct of clinical trials by overseeing adherence to ICH-GCP, regulatory and ethical requirements, SOPs, operational guidelines, and study-specific procedures. Monitor and report on trial delivery, quality, risk, workforce and financial performance, proactively identifying issues, implementing improvements, and escalating risks as required. Contribute to organisational strategy, continuous improvement initiatives, funding opportunities and ad-hoc projects aligned with CTC priorities and corporate objectives. About you Postgraduate qualifications in a relevant field. Extensive experience in clinical trial management, with a minimum of five years' relevant experience leading clinical trial operations, project management or equivalent roles across the full trial lifecycle in Australia. Profound knowledge of ICH-GCP guidelines, regulatory and ethical approval processes, and demonstrated ability to ensure compliant, high-quality clinical trial conduct. Demonstrated leadership capability with experience supervising, mentoring, training and performance managing staff, including resolving complex HR and workforce matters. Strong financial and operational acumen, with experience in budgeting, financial oversight, workload prioritisation, and managing multiple competing priorities to achieve outcomes. Excellent interpersonal, written and verbal communication skills, with strong negotiation, conflict resolution and stakeholder engagement capability, and the ability and willingness to travel up to 10% of the time. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible 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 are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by 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 LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. 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 Roshik Prasad, Recruitment Operations by email to roshik.prasad@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 Sunday 11 January 2026 11:59 PM

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University, is hiring a Doctoral Researcher. In this position, you will work on a project funded by the Research Council of Finland to build a machine learning tool for predicting the atomic structure of surfaces. You will work under the supervision of the project leader, Academy Research Fellow Dr. Ondřej Krejčí, and collaborate with international experts in materials and surface science. Together, you will help advance this key scientific discipline, which directly impacts such important technological and societal topics as semiconductor devices and heterogeneous catalysis for green fuel production. You will be fully integrated within the DAS group, a vibrant and diverse research environment whose core expertise is the development of machine-learning-infused atomistic modeling techniques beyond the state of the art and their application to study important problems in chemistry, physics and materials science. The group has access to state-of-the-art supercomputing facilities (like LUMI) and is very well integrated within the scientific community internationally. More about our activities: https://miguelcaro.org. The position is fully funded. Informal inquiries about the position can be directed to Ondřej Krejčí (ondrej.krejci@aalto.fi). Please, read the description below in full before directly contacting us by email. Your role and goals You will develop data-driven and machine learning workflows for predicting how atoms rearrange on the surface of materials such as metal oxides and semiconductors. Knowledge of the precise atomic structure is important for understanding and predicting electronic and catalytic properties and thus to engineer the material surfaces better for their technological usage.  For training the machine learning models, you will generate datasets from electronic structure theory calculations. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools. You will also discuss tool development with AI and machine learning experts at Aalto University and share your results with experimental collaborators. The position is part of the Research Council of Finland project Towards Realistic Surface Structures (https://research.fi/en/results/funding/86328). A secondment to the group of Prof. Gareth Parkinson at the Technical University of Vienna is planned. In combination with the academic development courses at Aalto University, we will help you grow a competitive and international career profile. Your experience and ambitions We welcome candidates with a Master’s degree in (computational) chemistry, physics, or materials science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven materials science and machine learning in atomistic simulations. This project requires creative thinking and programming, as well as technical expertise in materials simulations, machine learning and a broad understanding of surface and material science. We further appreciate willingness to travel, teach and mentor, collaborate and communicate science. To succeed in this role, you should have: A Master’s degree (or equivalent*) in Chemistry, Physics, Materials Science, Mathematics, Computer Science, or a related field. (*You are required to have a degree that would allow you to enroll for a PhD program in the granting institution, e.g., a 1st hons BSc in the UK is also eligible.) Prior programming experience, especially with Python. While you are not expected to be an expert programmer, some hands-on experience in programming is mandatory. Note that it will be entirely possible to develop more advanced programming skills during the doctoral studies. A strong interest in atomistic simulations, machine learning, and scientific method and software development. Proficiency in English (written and spoken). (Preferred) Experience with any of the following: Electronic structure software (e.g., VASP, GPAW, FHI-aims). Molecular dynamics packages (e.g., LAMMPS, GROMACS). Machine learning interatomic potentials (e.g., GAP, MACE, ACE). Machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch. If you have experience with other types of modeling tools (e.g., FEM), please state it in your cover letter. Applicants must fulfill the eligibility and admission criteria for Aalto’s Doctoral Programme in Chemical Engineering as specified at Aalto Doctoral Programme in Chemical Engineering | Aalto University. If you feel you are interested and qualified for the position but are concerned about not fulfilling all the criteria, still feel free to apply. Take a look at this article in Forbes. What we offer  Aalto’s Department of Chemistry and Materials Science is a leading research environment in Finland for computational chemistry and materials science, with four groups specializing in different branches (Soft Materials Modelling, Computational Chemistry, Inorganic Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years with a possible 2-year extension after passing the midterm review. During the first 6 months you must apply and receive a right to study in the doctoral programme. Aalto University follows the salary system of Finnish universities. The starting salary for Doctoral Researchers is 3075 € / month (gross). The contract includes Aalto University occupational healthcare benefits. The position will be filled as soon as a suitable candidate is identified. The starting date for the position is in the Spring 2026, but the exact date can be agreed with the selected candidate. The primary workplace will be the Otaniemi Campus at Aalto University. Ready to apply? To apply for the position, please submit your application no later than 8.1.2026 including the attachments mentioned below as one single PDF document in English through the link ’Apply now’ link at the bottom of the web page. Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions. Letter of motivation (max 1 page): Include your name and email. Briefly motivate your interest in the position and explain how/to what extent you fulfill the requirements. Briefly mention any prior research experience you may have. Please, do not use ChatGPT or similar tools to prepare your cover letter for you. CV including list of publications (max 2 pages): personal and academic information, list of skills, projects, etc. Lying on your CV is immediate grounds for disqualification. If you are invited for an interview, you will be asked about information provided here. If you are eventually offered the position, you will be asked for a transcript of academic records. Contact details of at least two referees (or letters of recommendation, if already available) Applications sent via email will not be considered; only submissions through the online recruitment system are accepted.  Questions about the vacancy may be directed via email to Dr. Ondřej Krejčí (firstname.lastname(a)aalto.fi). About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

About the role - Mō tēnei tūranga mahi The School of Agriculture and Environment, Massey University, is seeking applicants for a position in the Animal Science group as a Lecturer/Senior Lecturer in Animal Genetics and Breeding. The purpose of this position is to provide learning and qualification outcomes for Massey students in Animal and Agricultural Science and to contribute to the scholarly outputs of the University through undergraduate and postgraduate teaching and the supervision of postgraduate students in animal genetics and breeding. The role also requires the development of an active research programme, engagement in the successful pursuit of external research funding, and interaction with industry. This is a full-time, permanent position based on the Manawatū campus in Palmerston North. About you - Mōu A PhD in Animal Science, specifically in genetics or a related area, is essential. The successful applicant will require the following experience for this role: Strong knowledge of animal genetics and breeding An extensive track record of academic and/or research activity in animal genetics and breeding Experience with applied animal genetics and breeding management would be beneficial Capability to conduct independent research Ability to conduct genetic analysis of animal species to identify genetic variation and hereditary traits A track record of applying statistical methods to interpret biological data related to genetic traits, with advanced statistical capability being a strength Capability in molecular biology and/or genomics, including the use of modern genetic tools such as gene sequencing and genetic mapping to identify genetic markers Experience teaching university students or supporting academic staff to deliver teaching Experience using electronic and online technologies in blended and distance teaching delivery Experience using innovative teaching and assessment methods in undergraduate teaching would be beneficial A practical understanding of working within a teaching, research and extension environment A good understanding of New Zealand and global animal science and production systems An excellent background in research review, analysis and dissemination, including experience writing scientific papers Experience writing research grants and contracts What’s in it for you? - Ko ngā hua o te tūranga? At Massey University, we offer: A collaborative and supportive team environment Flexible working hours and a strong focus on work-life balance Five university holidays per year in addition to annual leave A beautiful campus with onsite cafes and gym facilities The salary for this position will depend on skills and experience but will be in the range of Lecturer/Senior Lecturer ($83,201 - $152,711). Further enquiries should be directed to Associate Professor Nicola Schreurs, School of Agriculture and Environment, Massey University at N.M.Schreurs@massey.ac.nz Find out more about the School of Agriculture and Environment here Applications close Saturday, 31 January 2026. To apply via our website, please click the 'apply now' button.