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Research Engineer/Fellow (Manufacturing & Applied AI) - ZW
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied applied artificial intelligence for industry applications as well as publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please apply with your resume including a cover letter, CV and a brief statement of your work undertaken in previous work. The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capital investment in science and technology. Key Responsibilities: Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on applied artificial intelligence computing. Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers. Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Coordinate procurement and liaison with vendors/suppliers. Participate in computer science related laboratories and tutorials for undergraduate students. Interview and supervise student assistants in the project. Job Requirements: (Research Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open to fixed-term contract (renewable upon review of satisfactory performance)
Salary
Competitive
Posted
25 Jun 2026
Data Analyst - Ancestry & Health Genomics Lab
The University of Sydney
Australia, Camperdown
The University of Sydney
Australia, Camperdown
Full time, fixed term for two years Exciting opportunity to be a Data Analyst with the University of Sydney Ancestry & Health Genomics Lab (Hayes Lab) Base Salary starting from $93,345 + 17% superannuation About the opportunity The successful candidate should have an Honours or Master's degree in Bioinformatics, Computational Science, Data Engineering or equivalent, and/or have a Bachelor's degree with substantial evidence of experience working within HPC environments and big data analytics, familiarity with bash commands, with preferential experience with using command-line interface bioinformatic tools. The successful candidate will join the University of Sydney Ancestry & Health Genomics Lab (Hayes Lab) working on uncovering the drivers of prostate cancer health disparities. Based within the 'state-of-the-art' Charles Perkins Centre, this hybrid international team is both generating and interrogating multi-omic data sources to address clinically relevant questions related to developing a globally inclusive system for prostate cancer care. The day-to-day tasks will involve running and maintaining the computational pipelines, data backup and security, while showing initiative for workflow improvements and integrative models. Providing data quality control, filtering, and preparation for downstream analysis. Running and managing computational resources both locally and for the larger consortium within the High Performance Computational (HPC) infrastructure. Run standard pipelines for variant calling, while working with all members of the Hayes Lab from Research Officers, Postdocs, international Fellows, and PhD students, as well as the staff and members of the Sydney Informatics Hub (SIH). The successful candidate will be responsible for releasing and managing data within the team core, managing computational resources and user access, reporting to the lab head, ensuring the highest level of data integrity, while resolving data issues and performing data analytics as directed. The successful candidate should have a passion for working with large data sources, have strong skills in problem-solving and computational literacy, be results-orientated while placing emphasis on attention to detail, efficiency in planning and deliverables. The candidate should be able to work both within a team environment and independently and be willing to spend two days a week in the office engaging with colleagues directly. The candidate should have a passion for working in an academic environment, which includes research focused on clinical impact. Your key responsibilities will be to: data management for the lab and consortium managing HPC computational access, KSU management and usage submitting of genomic data for publication assist in data collection activities and ensure compliance with set guidelines support data extraction, transformation and preliminary visualisation activities engage in data analysis and assist in identifying patterns to support decision making assist with data preparation for internal surveys and support external submission requirements participate in data cleansing and verification processes to ensure data accuracy perform routine large-scale data processing for variant calling using established pipelines coordinate with the team to produce quality reports, verify data accuracy within university systems and support compliance initiatives communicate with a broad range of stakeholders report directly to the Lab and Consortia lead. About you bachelor's/honours/masters degree in a relevant field or an equivalent combination of relevant training and experience experience analysing and providing insights on complex quantitative and qualitative data experience working with large data sources and complex data across a large and diverse organisation experience utilising analytics platforms and developing actionable recommendations experience working in the higher education sector experience in people management, including managing staff performance and development skills in data analysis, accuracy and attention to detail, organisation and time management, research computer literacy, familiarity with bash commands, with preferential experience with using command-line interface bioinformatic tools ability to communicate effectively and work collaboratively in a team. Pre-employment checks Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. 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 LGBTIQ+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold 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, Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@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 16 July 2026 11:59 PM
Salary
$93,345 + 17% superannuation
Posted
25 Jun 2026
Research Fellow, Australian Autism Knowledge Hub
La Trobe University
Australia, Melbourne
La Trobe University
Australia, Melbourne
Full time or Part time Fixed term until 31/3/29 Campus Independent Salary from $118,530 plus 17% superannuation (pro-rata for part time) About the position As part of the National Autism Strategy, the Australian Government committed to establishing the Australian Autism Knowledge Hub (the Hub) as a trusted national resource to strengthen the translation of autism research into practice, policy, and community impact. The Olga Tennison Autism Research Centre (OTARC), Australia’s largest autism research centre, has been commissioned to lead this initiative, creating a unique opportunity to shape accessible, evidence-informed outcomes at a national scale. Embedded within OTARC, the Hub brings together research, community knowledge and priorities, and practice expertise to support sustainable and independent knowledge sharing aligned with the National Autism Strategy. The Research Fellow will be involved in activities across the full research lifecycle, from co-design and ethics through to analysis, knowledge translation, and the development of practical tools, resources, and training that improve understanding and practice in autism. Skills and Experience To be considered for this position, you will have: Completion of a PhD in a relevant discipline and relevant experience within the discipline or professional area. High-level knowledge of autism and neurodiversity-affirming approaches to research. Lived experience of neurodivergence or disability, including personal, family, caring, or community experience, will be highly regarded Evidence of experience in participatory, co-produced, or lived experience–informed research approaches in applied research and evaluation. A record of contribution to publications, conference papers, reports, or professional/technical outputs demonstrating research potential. A record of research translation activities, including the ability to produce outputs for non-academic audiences in accessible, meaningful, and usable formats. Please refer to the Position Description for other duties, skills and experience required for this position. PD - AAKH Research Fellow.pdf Benefits 17% employer contributed superannuation Private Health Insurance discount Plus, many more, click HERE How to apply Closing date: By 11:55pm on Thursday 9th July 2026 Position Enquiries: Dawn Adams, Olga Tennison Endowed Chair in Autism Research Email: Dawn.Adams@latrobe.edu.au Recruitment Enquiries: recruitment@latrobe.edu.au Only candidates with Full Working Rights in Australia may apply for this position. Please submit an online application ONLY and include the following documents: Cover letter addressing the key selection criteria for the role and specifying if you are applying for full time or part time; An up-to-date resume. Please scroll down to apply. Aboriginal and Torres Strait Islander Applicants We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people. Our commitment to diversity and inclusion La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates. Our commitment to safety All La Trobe University employees are bound by the Working with Children Act 2005. If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement. National Code on Gender Based Violence in Higher Education La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability. Gender-based violence means any form of physical or non-physical violence, harassment, abuse or threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation liberty or autonomy.
Salary
$118,530 plus 17% superannuation (pro-rata for part time)
Posted
25 Jun 2026
Lecturer (STEM Education)
Australian Catholic University (ACU)
Australia, Melbourne
Australian Catholic University (ACU)
Australia, Melbourne
Play a key academic and leadership role in the National School of Education. ACU offers 17% employer superannuation, salary packaging and generous leave provisions. Full time, continuing term role at our Melbourne campus with some hybrid flexibility About the role: Operating within School of Education VIC - Melbourne, the position of Lecturer in STEM Education is a key academic and leadership role in the National School of Education. The Lecturer provides input into teaching innovations and curriculum development contributing to the activities of the National School of Education and the effective coordination, supervision and/or mentoring of staff. Key responsibilities involve the ongoing development, delivery, coordination and assessment of units at undergraduate and postgraduate levels within the discipline of STEM Education in line with the school's national curricula. The Lecturer will participate and contribute to the academic governance of the school in a range of administrative and advisory roles and actively contribute to the accreditation and review of existing programs. For full position details, refer to the position description Contact: General enquiries can be sent to Carol Kanna, Manager - School Operations at: carol.kanna@acu.edu.au What we offer: The University pursues an excellence agenda and offers an environment where staff are welcomed and safe, and valued through development, participation and involvement. Total remuneration valued to $142,635 - $168,287 total rem (pro rata) pa, including salary component $120,529 - $142,305 (pro rata) pa (Academic Level B), employer contribution to superannuation and annual leave loading. 17% employer superannuation contributions to eligible continuing and fixed-term staff. Annual leave loading of an equivalent to 17.5% of four weeks' salary pro rata payable, dependent on your commencement date. As an ACU staff member, you will have access to generous benefits which include but not limited to: flexible work, study leave, a variety of leave provisions and salary packaging. Find out more information about the benefits or working at ACU here. How to Apply: Step 1: Review the Position Description and become familiar with Our Mission and the Application process Step 2: Click the 'View Position Description and Apply' button, and populate your candidate application details, including your: Resume. Recommended responses to the Selection Criteria and Core Competencies in a cover letter (maximum 2 pages) or in the online Declaration and Criteria application page. Brief online responses to any pre-screening employment questions. Applications close: 12-JUL-2026 at 11:59pm AUS Eastern Standard Time Preferred candidates will be required to complete mandatory pre-employment declarations and background checks, including those related to gender-based violence and foreign interference, in line with ACU's compliance requirements. This position requires a Working with Children Check (WWCC) and/or Working with Vulnerable People Check (WWVP) (ACT only). Candidates must hold Australian work rights to apply for this position. For permanent/ continuing roles, applicants must have permanent work rights. For further information visit Immigration and Citizenship(homeaffairs.gov.au) The filling of this position/these positions is intended to constitute a special/equal opportunity measure under section 8(1) of the Racial Discrimination Act 1975 (Cth), and [select appropriate jurisdiction/s from: s 27 of the Discrimination Act 1991 (ACT) / s 105 of the Anti-Discrimination Act 1991 (Qld) / s 65 of the Equal Opportunity Act 1984 (SA) / s 12 of the Equal Opportunity Act 2010 (Vic) and s 8(4) of the Charter of Human Rights and Responsibilities Act 2006 (Vic)]. Candidates are encouraged to visit our Aboriginal and Torres Strait Islander Peoples Employment webpage for valuable resources to assist them in their application, including the Aboriginal and Torres Strait Islander Candidate Job Guide. Your Privacy of personal information is maintained in accordance with ACU policy. For more details visit: www.acu.edu.au/careers ACU is committed to fostering an inclusive workplace culture that values diversity and enables our people to reach their potential. This is underpinned by our mission and values, grounded in our respect for all people and the advancement of the common good. In line with our commitment to equity, diversity and inclusion we welcome candidates from all backgrounds and lived experiences. ACU is recognised as a Veteran Employment Supporter and veterans are encouraged to apply. ACU offers support for candidates that may require adjustments through the recruitment process. Please contact recruitment@acu.edu.au to discuss your requirements in confidence. About ACU: Australian Catholic University (ACU) is a publicly funded university whose teaching, research and service is shaped by the vision of flourishing lives, thriving communities, and a more ethical future for our world. ACU has more than 2,500 staff and 34,000 students across eight campuses: Ballarat, Brisbane, Canberra, Melbourne, North Sydney, Strathfield, Blacktown and Rome. ACU draws on the Catholic intellectual tradition which values human reason and welcomes everyone regardless of their faith, cultural tradition or circumstances. ACU invites all staff - both academic and professional - to embrace, and to support in ways meaningful to them, its mission to respect the dignity of every human person, to seek knowledge and to advance the common good. ACU does not accept candidate applications submitted by external recruitment agencies through the ACU careers website.
Salary
$120,529 - $168,287 total rem (pro rata) pa
Posted
25 Jun 2026
Postdoctoral Researchers in AI-driven Atomistic Modeling and AI-accelerated Cheminformatics
Aalto University
Finland
Aalto University
Finland
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 16 000 students and 5 200 employees, including 450 professors. Our campus is 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 is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. We are looking for several Postdoctoral Researchers in AI-driven atomistic modeling and AI-accelerated cheminformatics to join the Otaniemi Center for Atomic-scale Materials Modeling (OCAMM), hosted by the Department of Chemistry and Materials Science (CMAT). The positions to be filled are part of a new project funded by Business Finland, “Materials AI for accelerated industrial R&D”, carried out in collaboration with leading companies in the chemistry and materials fields, as well as the Finnish national supercomputing center, CSC. In-house collaborations with experimentalists are also included in the project. The project is led by Prof. Miguel Caro (PI), Prof. Antti Karttunen, and Prof. Kari Laasonen, who will supervise the postdoc positions advertised here. We are seeking candidates with expertise in one or more of these areas: Machine-learning interatomic potentials; High-throughput automated workflows for atomistic simulations; Atomistic modeling of the structure of materials; Simulation of molecular diffusion and molecular interactions with surfaces and/or nanoporous media; Atomistic simulation of chemical reactions and/or thin-film growth; Data-driven cheminformatics for molecular modeling and/or design; Molecular dynamics simulations. Your background and expertise We are looking for candidates with a doctoral degree in computational chemistry, physics or materials science (including engineering doctoral degrees in these areas). Candidates with a doctoral degree in computational biology, applied mathematics, or applied computer science with applications in the areas of interest of the project (as listed above) will also be considered. Open positions have different specific requirements, but we are generally interested in candidates with following merits: Track record of scientific publications; Prior experience with high-performance computing (HPC) systems; Ability to interact with data and software programmatically (for example, familiarity with Python scripting) Strong command of written and spoken English, including the ability to effectively communicate and discuss ideas. You have previous practical experience in one or more of the following more specific topics: Machine learning interatomic potentials (GAP, NNP, MTP, ACE, MACE, etc.); Density functional theory studies of nanoparticles, surfaces, or bulk materials; Chemical reaction modeling and/or enhanced sampling (NEB, metadynamics, microkinetic modeling, etc.); Molecular dynamics simulations (LAMMPS, Gromacs, etc.); ML-based techniques applied to cheminformatics (e.g., high-throughput molecular data processing with SMILES). Expertise in the following areas is considered beneficial: scripting (Python, bash, etc.), high-performance programming (Fortran/C/C++, CUDA, etc.), ML libraries (sklearn, Pytorch, etc.). In your CV or motivation letter, you can also list other expertise that you may think is relevant for the advertised positions. What we offer OCAMM is a new initiative created within a well-established research environment specializing in computational chemistry and materials science. Adding to our strong expertise in traditional atomistic modeling, we have been early adopters of atomistic machine learning and other data-driven techniques that have recently emerged in the field. The OCAMM community of more than 10 researchers working on this project will benefit from strong internal interaction as well as networking with the participating companies and other companies embedded with their research ecosystems. The OCAMM community will be integrated within the existing atomic-scale modeling community at the CMAT Department (four research groups and about 40 researchers overall). OCAMM researchers will have access to the world-class supercomputing facilities offered by CSC, the Finnish supercomputing center. This includes the EuroHPC LUMI supercomputer and upcoming upgrades (LUMI-AI). Aalto campus is in Espoo, Finland, in the capital Helsinki region. Helsinki is the lively, dynamic capital of Finland with active international social scene, good opportunities for culture or outdoor activities, and reputedly high quality of living in general. The expected starting salary for a Postdoctoral Researcher is approximately 4148–4305 €/month depending on previous research experience. The contract includes occupational health care benefits and Finland has a comprehensive social security system. How to apply To apply, please submit your application at your earliest convenience but no later than 9.8.2026 through our online recruitment system by using the "Apply now" link. Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday -> Internal Jobs by using their existing Workday user account. To apply, please submit the following application materials in English (all documents must be PDF files and the maximum size of each document is 5 MB). A letter of motivation (maximum one page). A complete curriculum vitae describing education and employment history. List of scientific publications. Contact details of at least two possible reference letter writers. Evaluation of the applications may start immediately. For more information about the role, please contact Prof. Miguel Caro (miguel.caro@aalto.fi). For questions related to the application process, please contact HR partner Eeva Käki (available until 10th July) (eeva,käki@aalto.fi). 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.
Salary
4148 - 4305 €/month
Posted
25 Jun 2026