{"id":1252342,"url":"https://alion.io/job/astar-scientist-sraarm-simtech","title":"Scientist (SRA/ARM), SIMTech","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":null},"role":"Science & Research","role_family":"Science & Research","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Embodied AI","optional":false},{"name":"EtherCAT","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-09-25T18:36:13Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-25T18:42:59Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Role Summary\nABOUT THE ROLE\nWe are seeking for an Embodied AI Scientist to conduct fundamental and applied research in humanoid robotics, with a particular emphasis on actuator-centric embodied intelligence. The successful candidate will contribute to the development of learning-enabled control and decision-making frameworks that are deeply integrated with the physical dynamics, sensing and actuation of humanoid robotic systems. You are expected to work in a multidisciplinary research group spanning robotics, control, artificial intelligence and mechatronic system\nJOB DESCRIPTION\nConduct research on embodied AI methods for humanoid robots, focusing on joint-level actuation, compliance, force interaction and energy-efficient motion\nDevelop learning-based and model-based control strategies that explicitly account for actuator dynamics, nonlinearities and other physical constraints\nIntegrate multi-modal sensing which includes closed-loop control of position, force/torque, tactile and visual feedback as well as deployment of learning control architectures such as reinforcement learning \nAdapt Controller tuning transfer challenges through system identification, domain adaptation and adaptive control methods\nInvestigate safe and constrained learning approaches for humanoid locomotion and manipulation under uncertainty.\nIntegration of the mechanical transmission, actuator and control system into the humanoid robot to demonstrate the embodied intelligence \nDesign and conduct experimental studies using humanoid joint modules, actuation testbeds and full-body robotic platforms\nJOB REQUIREMENT\nPh.D. degree in Mechanical, Electrical, Control or Mechatronics Engineering\n3-5 years of work experience or similar is preferred\nFresh graduates are also encouraged to apply \nWe value the following skills and experience:\nExperience with the development and control of humanoid robotics systems\nKnowledge of machine learning applications in motion control, such as reinforcement learning will be a plus\nGood understanding of the various actuation principles and up to date with state-of-the-art actuation technologies\nExperience with the design and integration of BLDC and/or PMSM electric motors in robotics joint module\nFamiliarity with numerical simulation software tools e.g. Ansys maxwell, Comsol Multiphysics, JMAG \nExperience with the prototyping and assembly of actuator components e.g. frameless motor assembly \nGood working knowledge of digital control techniques and hardware implementation in embedded controllers\nProficiency in programming languages such as C, C++, Python, or MATLAB.\nFamiliarity with industrial communication protocols (e.g., CAN, EtherCAT, Modbus).\nExcellent problem-solving and analytical skills\nGood communications skills and the ability to work in a team \nABOUT THE ROLE\nWe are seeking for an Embodied AI Scientist to conduct fundamental and applied research in humanoid robotics, with a particular emphasis on actuator-centric embodied intelligence. The successful candidate will contribute to the development of learning-enabled control and decision-making frameworks that are deeply integrated with the physical dynamics, sensing and actuation of humanoid robotic systems. You are expected to work in a multidisciplinary research group spanning robotics, control, artificial intelligence and mechatronic system\nJOB DESCRIPTION\nConduct research on embodied AI methods for humanoid robots, focusing on joint-level actuation, compliance, force interaction and energy-efficient motion\nDevelop learning-based and model-based control strategies that explicitly account for actuator dynamics, nonlinearities and other physical constraints\nIntegrate multi-modal sensing which includes closed-loop control of position, force/torque, tactile and visual feedback as well as deployment of learning control architectures such as reinforcement learning \nAdapt Controller tuning transfer challenges through system identification, domain adaptation and adaptive control methods\nInvestigate safe and constrained learning approaches for humanoid locomotion and manipulation under uncertainty.\nIntegration of the mechanical transmission, actuator and control system into the humanoid robot to demonstrate the embodied intelligence \nDesign and conduct experimental studies using humanoid joint modules, actuation testbeds and full-body robotic platforms\nJOB REQUIREMENT\nPh.D. degree in Mechanical, Electrical, Control or Mechatronics Engineering\n3-5 years of work experience or similar is preferred\nFresh graduates are also encouraged to apply \nWe value the following skills and experience:\nExperience with the development and control of humanoid robotics systems\nKnowledge of machine learning applications in motion control, such as reinforcement learning will be a plus\nGood understanding of the various actuation principles and up to date with state-of-the-art actuation technologies\nExperience with the design and integration of BLDC and/or PMSM electric motors in robotics joint module\nFamiliarity with numerical simulation software tools e.g. Ansys maxwell, Comsol Multiphysics, JMAG \nExperience with the prototyping and assembly of actuator components e.g. frameless motor assembly \nGood working knowledge of digital control techniques and hardware implementation in embedded controllers\nProficiency in programming languages such as C, C++, Python, or MATLAB.\nFamiliarity with industrial communication protocols (e.g., CAN, EtherCAT, Modbus).\nExcellent problem-solving and analytical skills\nGood communications skills and the ability to work in a team","description_format":"text","description_chars":5585,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T18:36:13Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":27,"reasons":["conf:11","win:early","comp:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/astar-scientist-sraarm-simtech","json_url":"https://alion.io/job/astar-scientist-sraarm-simtech.json","meta":{"generated_at":"2026-09-27T03:18:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3075,"day_limit":5000,"remaining_today":1925,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}