36 results
The FICOSS-AI project will develop an open-source pipeline integrating astrophysical models, spectral diagnostics and AI to study stellar populations and galaxy evolution. The fellow will combine machine learning, population-synthesis models and spectral-analysis tools, contribute to publications and mentor students technically. The expected start is 1…
Design, develop and deploy services that estimate the environmental impacts of large-scale distributed computing. The ODISSEE project and Avalon team extend energy-only measurements toward life-cycle and multiple-impact assessments, validating tools on the SLICES-FR infrastructure across the IoT, network, edge and cloud continuum. Required skills include…
Develop a scaled-boundary computational framework for dynamic nonlinear analysis of large structures. The project integrates digital geometric modelling with computational mechanics to produce robust, automated simulation methods and software. The associate works with Professor Chongmin Song and academic colleagues. This 12-month full-time appointment…
Develop interpretable computational tools for molecular and spatial analysis of tumour-cell plasticity in pancreatic ductal adenocarcinoma. Within the AIMPACT collaboration, the BioTiC team seeks an engineer to turn prototype differential-network software into a documented Python package, add visualization and example notebooks, and identify regulatory…
Develop a Python library for evaluating theoretical generalization bounds in deep learning within the SIERRA team and ERC DYNASTY project. The role connects learning theory with practical neural-network evaluation through modular scientific software, empirical experiments and publications. The two-year appointment has a planned start of 1 December 2026.…
Closes
An indefinite full-time role develops scientific data and publication platforms for CSIRO National Collections and Marine Infrastructure, including research-vessel Investigator data. Responsibilities include web tools, metadata, visualization, interoperability and scientific-data curation, working with data providers and users. Salary is AU$100,000–113,000…
Closes
Develop a whole-life geotechnical design framework for offshore anchoring systems in the Centre of Excellence for Intelligent & Resilient Ocean Engineering. Generate and interpret finite-element datasets, derive a lumped-element macro model, and implement an accessible stand-alone calculation tool. The research forms part of the Royal Academy of Engineering…
Closes
Three-year training and development position in Dr Greg Jefferis's group in the Neurobiology Division of the MRC Laboratory of Molecular Biology, within a programme on molecular connectomics in Drosophila. The programme develops methods to map neuronal gene and protein expression onto reference electron microscopy connectomes and uses them to study the…
Closes
Develop quantitative-genetic and genomic methods for aquaculture breeding, combining multi-trait and multi-environment prediction with optimisation and data science. Research covers Look-Ahead Genomic Selection, haplotype stacking and breeding strategies balancing genetic gain, resilience, adaptability, sustainability and genetic diversity. Build simulation…
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The Bioinformatics and AI Expertise Unit at VIB–KU Leuven’s Center for Cancer Biology seeks a data scientist to develop and evaluate LLM-based tools for research. The role connects agents to analysis pipelines, high-performance computing, databases and research protocols, supporting multi-omics and spatial-data work. Responsibilities include assessing…
Closes
The Loerch laboratory studies neuronal ribosomes and protein synthesis. The intern will organize structural datasets, build reproducible analysis software, compare structural features, and investigate ribosome states in cellular cryo-EM images using two-dimensional template matching. Machine learning may form part of the work. The appointment is up to 20…
Closes
Develop digital platforms for energy-system research in Mérida Labs using the UBC Smart Hydrogen Energy District. Projects combine renewable energy and hydrogen technologies, datasets, simulation, optimisation and machine learning to support decarbonisation research. The fellow works with academic and industry partners, mentors students and helps identify…
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Develop numerical algorithms and software for scientific supercomputing. The research includes eigensolver methods for emerging high-performance computing environments.
Develop computing hardware, architectures or software for AI and high-performance scientific computation. Research can address model execution, compilers and specialised computational devices.
Develop computational approaches to understand Gene Writing biology and assess genomic safety. The scientist works with experimental teams on study design and multi-omics analysis, builds reproducible sequencing pipelines and interprets molecular data for research and preclinical programmes. The Somerville role requires onsite work two to three days per…
Develop and evaluate software for thermal-system design and control, including HVAC, central heating/cooling plants and data-centre cooling. The work uses Modelica, Python, optimization and AI, with laboratory or field validation and industrial collaboration. This two-year postdoctoral appointment has monthly pay of USD 8,266–8,921. Priority review is…
Develop AI-based software tools for materials research and scientific computing. The work explores how foundation models and generated code can improve research workflows and computational methods.
The RIKEN Center for Computational Science seeks technical scientists to develop programming environments for supercomputers, including accelerator-based systems and Fugaku NEXT. Work covers compilers, performance tools, mathematical and communication libraries, AI-assisted software development and application performance evaluation. Researchers collaborate…
Translate frontier machine-learning prototypes into scalable systems for drug discovery. The role optimises models such as diffusion networks, transformers and DNA-sequence models in JAX or PyTorch, improves distributed training and inference, and develops research libraries and evaluation tools.
Develop embedded hardware and software for intelligent sensors and edge AI. Work spans FPGA and HDL design, board layout and commissioning, sensor interfaces, real-time processing and deployment of models on resource-constrained systems.
Build Unity interaction and rendering features and a Python language-model backend for the Digital Einstein platform. Evaluate conversational quality and latency, maintain the system and support selected demonstrations; the semester workload is approximately fifteen hours per week.
Develop the Belvue visual programming language with its designer. Implement editor features and reusable interface components, extend the C++ language implementation and contribute to language and user-interface design.
Design robotic electronics from requirements and schematics through board commissioning and diagnostics. Work includes embedded firmware, sensor and actuator interfaces, power and timing constraints, and collaboration with mechanical and software engineers.
Develop and validate control software for physical robots, working across sensors, actuators and mechanical constraints. The role includes experiment design, commissioning, repeatable testing and documenting results so other researchers can extend the systems.