{"id":121720,"url":"https://alion.io/job/ses-computational-chemistry-intern-materials-modelingmolecular-simulation","title":"Computational Chemistry Intern (Materials Modeling/Molecular Simulation)","company":{"id":31799,"name":"SES AI","domain":"ses.ai","url":"https://alion.io/company/ses","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"D","score":42,"open_postings":35,"ghost_share":0.971,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Biotech","role_family":"Biotech","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":27000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HPC","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-03-19T18:38:44Z","employer_posted_date":"2026-06-22","last_verified_at":"2026-10-24T12:13:26Z","board_verified":true,"closed_at":null,"days_open":218,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":218},"description":"Computational Chemistry Intern (Materials Modeling / Molecular Simulation)\n\nAbout Us\nSES AI is a leader in AI-driven materials discovery, building the Molecular Universe (MU) platform to accelerate the development of next-generation battery chemistries. Our work integrates physics-based simulations, machine learning, and large-scale data infrastructure to enable rapid innovation in material science with a dedication to AI for Science.\nTo learn more about SES, please visit: www.ses.ai\nPosition Scope\nSES AI is seeking a Computational Chemistry Interns to join the Molecular Universe team and support computational modeling and simulation of advanced electrolyte systems. This is a hands-on research role focused on liquid-phase molecular dynamics (MD) simulations, especially for electrolyte systems relevant to next-generation batteries.\nInterns will receive training and mentorship from our computational scientist, and collaborate across global teams.\n Location: China (Remote)\nDuration: 6 months\nResponsibilities\nContribute to the SES Molecular Universe project by supporting computational chemistry modeling and simulation of advanced electrolyte systems\nIndependently or collaboratively perform molecular dynamics simulations for liquid-phase systems, especially electrolytes, including system construction, initial structure generation, and simulation parameter setup\nExecute the full MD workflow, including job submission, HPC resource utilization, run monitoring, troubleshooting, and issue resolution\nAnalyze simulation results in depth, including but not limited to:\nStructural properties such as radial distribution functions (RDF), coordination numbers, and solvation structures\nDynamic properties such as diffusion coefficients and ion transport behavior\nThermodynamic and statistical property extraction\nBuild and improve automated data-processing pipelines to enhance simulation efficiency, reproducibility, and scalability\nConvert simulation outputs into clear reports, visualizations, and presentations that support scientific and engineering decision-making\nCollaborate with internal teams to improve workflow robustness and reproducibility across simulation pipelines\nSupport the scaling and engineering of molecular simulation workflows within the MU platform\nPreferred / Advanced Responsibilities\nContribute to force field development, optimization, and validation for electrolyte or ion-containing systems\nExplore higher-accuracy or higher-efficiency simulation methodologies\nParticipate in the engineering and platformization of simulation workflows, including workflow automation, orchestration, and task scheduling\nQualifications\nPhD (or PhD candidate) in Computational Chemistry, Materials Science, Chemical Engineering, Physical Chemistry, or a related field\nHands-on experience with molecular dynamics simulations, particularly for liquid-phase systems\nFamiliarity with common simulation tools such as GROMACS, LAMMPS, OPENMM, or similar packages\nExperience with electrolyte systems, ionic systems, battery-related simulations, or sodium-ion systems is strongly preferred\nUnderstanding of molecular force fields, including basic principles of force field development and parameterization; direct experience is preferred\nProgramming skills in Python or similar languages for data analysis, workflow automation, and simulation pipeline development\nStrong problem-solving skills and the ability to diagnose simulation instability, convergence issues, and physical inconsistencies\nExcellent communication skills, with the ability to clearly present technical findings to both technical and non-technical audiences\nAbility to work effectively in a collaborative, international research environment\n Language Requirement\nProfessional English proficiency is required\nFor positions based in Korea, Japan, and Mainland China, candidates must speak English fluently and be able to conduct professional work in English, including technical discussions, documentation, and presentations\nWhy Join SES AI\nWork on real, high-impact problems in next-generation battery materials discovery\nContribute to production-relevant simulation workflows rather than isolated academic projects\nGain exposure to the intersection of molecular simulation, automation, AI for Science, and materials innovation\nCollaborate with a global team across simulation, machine learning, and experimental validation","description_format":"text","description_chars":4407,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"China","iso":"CN","kind":"country"},{"name":"Japan","iso":"JP","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy Storage"],"lifecycle":[{"event":"open","at":"2026-09-05T23:20:00Z"}],"visa":[],"liveness":{"score":2,"band":"cold","label":"Long shot","p_open":1,"p_active":0.067,"p_room":0.28,"age_days":218,"expected_fill_days":24,"reasons":["conf:2","stale_co","ghost","win:tail","crowd:junior"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/ses-computational-chemistry-intern-materials-modelingmolecular-simulation","json_url":"https://alion.io/job/ses-computational-chemistry-intern-materials-modelingmolecular-simulation.json","meta":{"generated_at":"2026-10-24T14:49:22Z","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":20963,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":31799},"rest":"https://alion.io/mcp/rest/get_company?id=31799"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fses-computational-chemistry-intern-materials-modelingmolecular-simulation"},{"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%2Fses-computational-chemistry-intern-materials-modelingmolecular-simulation"},{"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%2Fses-computational-chemistry-intern-materials-modelingmolecular-simulation"},{"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/ses-computational-chemistry-intern-materials-modelingmolecular-simulation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fses-computational-chemistry-intern-materials-modelingmolecular-simulation"}]}