{"id":1253587,"url":"https://alion.io/job/astar-scientist-computational-sustainability-iaic","title":"Scientist, Computational Sustainability, IAIC","company":{"id":50235,"name":"Agency for Science, Technology and Research","domain":"a-star.edu.sg","url":"https://alion.io/company/a-star-edu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"B","score":80,"open_postings":50,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":75000,"period":"year","method":"role_country_seniority_unknown","sample_n":37},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Fortran","optional":false},{"name":"HPC","optional":false},{"name":"Julia","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-25T18:38:00Z","employer_posted_date":"2026-04-10","last_verified_at":"2026-10-19T10:28:22Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"Job Summary\nWe invite applications from outstanding candidates to join a dynamic and highly collaborative team of scientists and engineers within the Computational Sustainability Division (CoS) at the Institute of High Performance Computing (IHPC), A*STAR. The successful candidate will contribute to research and development in computational fluid dynamics (CFD), addressing critical challenges in urban sustainability, marine and offshore decarbonisation, low-carbon and renewable energy, and related domains. The role involves working on a broad spectrum of R&D projects, from foundational capability development to applied research, offering significant opportunities for professional growth and meaningful impact.\nThe key scope of work includes:\n Developing advanced modelling and simulation capabilities for multi-physics, multi-component, and multi-phase fluid flow problems.\nDesigning and implementing Physics-Informed Machine Learning (PIML) models, including core methodologies for embedding governing physical principles into machine learning frameworks.\nDeveloping physics-based, data-driven surrogate models and data assimilation techniques for flow-related problems and applications.\nWorking closely with multidisciplinary teams to develop and apply CFD codes across diverse application areas, such as environmental flows, hydrodynamics, turbulent flows, and dispersion modelling.\nCollaborating with industry partners, affiliated research institutes, and other key stakeholders to translate research outcomes into real-world impact. \nJob Requirements\nA strong academic background in physics and/or engineering, preferably with a PhD in Mechanical, Aerospace, Civil, Environmental, Chemical, Computational Engineering, Applied Physics, or a closely related discipline.\nSolid understanding of core physics and engineering principles, including fluid dynamics, transport phenomena, and thermodynamics, with demonstrated expertise in multi-phase and multi-component flows.\nIn-depth knowledge of numerical methods for fluid flow simulations (e.g. finite volume methods, lattice Boltzmann methods, volume-of-fluid techniques) and experience with high-performance computing. \nExperience in developing computational methods, including the use and customization of open-source CFD codes (e.g. OpenFOAM, Nek5000, Palabos); familiarity with optimization techniques (e.g. linear, nonlinear, and real-time optimization) is an advantage. \nProficiency in programming languages such as Python, C/C++, Fortran, CUDA, and/or Julia.\nExperience with machine learning techniques, including neural networks and deep learning, is highly desirable. \nStrong interpersonal and communication skills, with the ability to work effectively both independently and as part of a multidisciplinary team; excellent communication; self-motivated, resourceful, and committed to high standards of professional integrity.","description_format":"text","description_chars":2896,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Research Institutes"],"lifecycle":[{"event":"open","at":"2026-09-25T18:38:00Z"}],"visa":[],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.42,"p_room":0.55,"age_days":23,"expected_fill_days":21,"reasons":["conf:0","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/astar-scientist-computational-sustainability-iaic","json_url":"https://alion.io/job/astar-scientist-computational-sustainability-iaic.json","meta":{"generated_at":"2026-10-19T11:35:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8155,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":50235},"rest":"https://alion.io/mcp/rest/get_company?id=50235"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fastar-scientist-computational-sustainability-iaic"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fastar-scientist-computational-sustainability-iaic"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fastar-scientist-computational-sustainability-iaic"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/astar-scientist-computational-sustainability-iaic\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fastar-scientist-computational-sustainability-iaic"}]}