{"id":1208469,"url":"https://alion.io/job/csem-internship-in-machine-learning-for-semiconductor-packaging-fmd","title":"Internship in Machine Learning for Semiconductor Packaging (F/M/D)","company":{"id":178514,"name":"CSEM","domain":"csem.ch","url":"https://alion.io/company/csem","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Alpnach, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":75000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":621},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-11T11:27:24Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Facing the challenges of our time\nHelp us grow and be more impactful!\nThe Predictive Analytics group is offering a student project or internship to develop and validate an adaptive equipment-intelligence framework for semiconductor manufacturing using machine telemetry and high-frequency sensing.\nUsing semiconductor die bonding as the experimental platform, the project will investigate whether acoustic emission and other sensor signals can provide robust information about equipment and process state across changing recipes and operating conditions.\nMachine-learning methods will be developed for:\nQuality prediction\nAnomaly detection and virtual metrology, with emphasis on generalization across recipes and operating conditions\nUncertainty-aware adaptation using limited data from new process conditions\nThe project will quantify which sensing modalities and signal representations remain informative under process changes and determine how much new data is required to adapt the monitoring system to a new operating regime.\nThe project is intended for a minimum duration of six months and requires regular on-site work in Alpnach, Switzerland.\nYour responsibilities\nDesign and instrument an experimental setup for semiconductor die-bonding measurements.\nAcquire, synchronize, document, and preprocess machine telemetry, acoustic-emission data, and other high-frequency sensor signals.\nDevelop machine-learning approaches for quality prediction, anomaly detection, and virtual metrology.\nEvaluate the robustness and generalization of sensing modalities and signal representations across recipes and operating conditions.\nDevelop uncertainty-aware adaptation methods using limited data from new process conditions.\nDocument methods and results and communicate findings to the Predictive Analytics team.\nAssist the team in various tasks\nYour profile\nBachelor's or Master's studies in Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, Robotics, Microengineering, or a related engineering field, with a focus on machine learning.\nKnow-how\n Good knowledge of machine learning and engineering fundamentals\nProficiency in Python\nFamiliarity with time-series and sensor data\nInterest in industrial experimentation\nHands-on skills to build and instrument an experimental setup\nFamiliarity with Git and Linux is an advantage\nKnowledge of acoustic sensing or virtual metrology is an advantage\nStrong English communication skills; German is an advantage\nInterpersonal skills\nDriven and motivated\nPractical, hands-on working style\nGood communication skills\nHighly collaborative\nFlexible and adaptable thinking and operating style\nCSEM mission and values\nWe believe in a future that is imagined, shared, and created TOGETHER.\nAt CSEM, we don’t just innovate, we envision technologies that shape tomorrow.\nSince 1984, our purpose has remained constant: to harness science and technology for the benefit of society. Today, with over 650 people across Switzerland, we remain committed to our mission: to develop and transfer world-class solutions in digital technologies, precision manufacturing, and sustainable energy systems. In doing so, we empower Swiss industry to innovate and remain competitive.\nOur strength is the excellence of our people. We believe that strong values support the successful development of our organization as well as the harmonious and balanced development of all our employees.\nWe are\nA unique place between research and industry at the cutting edge of new technologies\nAn innovative, non-profit, and employee-driven company\nA dynamic, multidisciplinary, and multicultural environment\nA solar team focused on enabling solutions to energy challenges for a sustainable world\nWorking@CSEM means\nBeing part of a passionate community.\nIncredible flexibility, attractive working conditions, and great opportunities of development.\nBenefit from a management style based on trust & feedback and that favors a work-life balance.\nWe are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity. \nWe look forward to receiving your complete application file via (CV, cover letter, certificates & diplomas) our job page. Preference will be given to professionals applying directly.","description_format":"text","description_chars":4354,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Switzerland","iso":"CH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Semiconductor Manufacturing","Processors, MCUs & AI Chips","Sensors & Transducers","Research Institutes"],"lifecycle":[{"event":"open","at":"2026-09-25T01:43:47Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":21,"expected_fill_days":97,"reasons":["conf:42","win:early","comp:junior"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/csem-internship-in-machine-learning-for-semiconductor-packaging-fmd","json_url":"https://alion.io/job/csem-internship-in-machine-learning-for-semiconductor-packaging-fmd.json","meta":{"generated_at":"2026-10-13T14:01:40Z","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":21544,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":178514},"rest":"https://alion.io/mcp/rest/get_company?id=178514"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcsem-internship-in-machine-learning-for-semiconductor-packaging-fmd"},{"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%2Fcsem-internship-in-machine-learning-for-semiconductor-packaging-fmd"},{"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%2Fcsem-internship-in-machine-learning-for-semiconductor-packaging-fmd"},{"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/csem-internship-in-machine-learning-for-semiconductor-packaging-fmd\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcsem-internship-in-machine-learning-for-semiconductor-packaging-fmd"}]}