Grove City College

FACULTY POSITIONS (AT ALL LEVELS) IN COMPUTER SCIENCE, COMPUTER ENGINEEERING AND INFORMATION SECURITY  The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its upcoming Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of ICT experts works with multi-disciplinary teams to drive the horizontal tech enablers required to support SIT’s strategic translational research. As a young university, we encourage innovation and seek the right candidates to join us in realising our vision. We offer competitive remuneration, generous employment benefits, access to funding to undertake research of relevance to industry, and opportunities to inspire and nurture the next generation of skilled and work-ready graduates. We currently have positions available at all levels, from Lecturer to Full Professor, in the following areas:  Information Security: Mobile/distributed systems security, Cyber Physical Systems security, security analytics, digital forensics, vulnerability assessment, malware analysis and defence, Privacy-enhancing technologies, AI security. Computer Science and Software Engineering: SDLC, requirement analysis, design, testing, optimisation, analysis, simulation, database, computer graphics, distributed systems, computer vision, video analytics Emerging Fields: IIoT, computational fintech, robot-human interaction, Trustworthy AI, Explainable AI, Large Language Models, Quantum Computing. We have established research teams in operational cybersecurity, AR/VR/HCI and immersive technologies, future transportation solutions, AI, future communications/5G, BCI and embedded systems. We welcome candidates who can complement or strengthen these areas. Successful candidates will join the Infocomm Technology (ICT) Cluster (one of five academic clusters in SIT) as members of a team of accomplished experts who are passionate about higher education and deeply involved in industry transformation through applied research programmes. Faculty in the ICT Cluster undertake funded industry-relevant research, teach courses in Computer Science, Computer Engineering, Information Security and Software Engineering, as well as supervise graduate industry masters and doctorate students in relevant topics. They are also provided with paid leave to undertake consultancy work with industry and/or spend time attached with industry.  We will prioritise collegial and team-spirited candidates with an earned PhD in a related discipline from a reputable university, plus relevant work experience or experience of industry-linked applied research projects. Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below. 

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.

The Finnish Museum of Natural History LUOMUS at the University of Helsinki invites applications for a Postdoctoral Researcher, IsoMuseomics for a fixed-term period of three years. The work will be based at the Finnish Museum of Natural History LUOMUS at the University of Helsinki, Helsinki, Finland. The postdoctoral researcher will join the IsoMuseomics project, and work under the supervision of Kyung Min Lee, the Head of DNA Laboratory and University Researcher. This position is part of Lee’s four-year Academy Project, funded by the Research Council of Finland. The successful candidate is expected to start ideally by September 2026. About the position The IsoMuseomics project aims to trace genomic changes across a wide time span - up to 200 years - to understand how environmental changes have impacted their genomic diversity. The project focuses on Lepidoptera (butterflies and moths) as model system, that are currently threatened or vulnerable, which serve as important ecological indicator. By analysing historical specimens from museum collections (dried and pinned specimens), we can investigate how these changes are encoded in their DNA, across both spatial and temporal scales. The majority of genomic data will be generated from historical museum specimens, which typically yield highly fragmented DNA. The postdoctoral researcher will be primarily responsible for:  Designing and analysing genomic datasets derived from fragmented whole-genome data Conducting genome assemblies and SNP calling Performing phylogenomics and population genomic analyses Contributing to manuscript writing Qualifications  The position requires:  A doctoral degree relevant to the project (e.g., biology, genomics, evolutionary biology) Less than seven years since obtaining the PhD  Ability to conduct independent scholarly work Strong collaboration and communication skills Teaching skills necessary for the position  Excellent written and spoken English skills  Highly valued qualifications: Experience working with highly fragmented genomic data and museomics Strong bioinformatics skills Proficiency in command-line scripting and programming Knowledge of phylogenomics and population genetics Why conduct a postdoctoral project at the University of Helsinki? In the field of ecology, the University of Helsinki is the leading university in Finland and the Nordic countries, and the fifth-best in Europe, according to Shanghai Ranking’s Global Ranking of Academic Subjects in 2024. The University of Helsinki invests in the welfare of its employees by offering preventive occupational health services, general medical care, and sports facilities. For further information please check: Staff benefits. The starting gross monthly salary of the postdoctoral researcher will be ca. 3600 - 4000 euros depending on the appointee's qualifications and experience, based on level 5 in the salary system of Finnish universities. A six-month trial period will be applied. The working hours of the postdoctoral researcher will be 1612 hours on a yearly basis as they will belong to the annual workload scheme of research and teaching staff. The postdoctoral researcher should reside in Finland while employed by the University of Helsinki. The University of Helsinki assists employees from abroad with their transition to work and life in Finland. Finland is a member of the European Union, has high quality free schooling (also in English), as well as generous family benefits and healthcare. Read more about why the University of Helsinki is an excellent career choice: working at the University of Helsinki. Here you can find more information about: living in Finland and Helsinki. For eight years in a row, Finland has been ranked as the happiest country in the world. How to apply? Only online applications submitted through the University of Helsinki recruiting system by 22 May 2026 (23:59 EEST) will be considered. The application must include the following documents written in English as a single pdf called “lastname_firstname”: Motivation letter (max. one page). Please state your research interests and address the qualifications listed above, outlining why you are the right person for this position. Also, indicate what is your earliest starting date, if you are selected for the position. Curriculum vitae (max. two pages), including a list of your most relevant publications for the position. Contact information of three referees, who can provide a reference based on request and your relation to them. Degree certificate Applications will be reviewed after the application deadline, after which the top candidates will be invited for interviews. Selected candidates will receive a pre-assignment prior to the interview. The interviews will be held in June 2026 via Zoom. A diverse and equitable study and work culture is important to the University of Helsinki. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from different gender identities, linguistic and cultural backgrounds, and minorities to apply for the position. You can read about the accessibility and inclusivity of our university via this link. External applicants, please submit your application using the University of Helsinki Recruitment System via Apply Now button. Employees of the University of Helsinki must submit their applications through the SAP Fiori portal: https://msap.sap.helsinki.fi About the Finnish Museum of Natural History  The Finnish Museum of Natural History, LUOMUS, is an independent institute of the University of Helsinki and the national museum in the field of natural history in Finland. The museum’s duties are to amass, maintain and display its collections, and to conduct related research, particularly in the field of species-level biodiversity. The collections serve research, teaching, and public education in biology, geology, and biodiversity, and form part of the international network of natural history repositories. The Finnish Museum of Natural History has five units: Zoology, Earth Sciences, Botany and Mycology, Biodiversity Informatics, and Public Engagement. Further information For information about the position, please contact Kyung Min Lee: Kyung.m.lee@helsinki.fi For information about the recruitment process and recruitment system, please contact recruitment: recruitment@helsinki.fi