{"id":2284691,"url":"https://alion.io/job/ericsson-master-thesis-strategies-for-missing-ml-data-labels","title":"Master Thesis: Strategies for Missing ML Data Labels","company":{"id":56456,"name":"Ericsson","domain":"ericsson.com","url":"https://alion.io/company/ericsson","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":82,"open_postings":88,"ghost_share":0,"stale_share":0.739,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Early Careers","role_family":"Early Careers","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":["Linköping, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-09-30T09:05:51Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-14T13:31:24Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"Join our Team\nAbout this opportunity:\nAs mobile networks are becoming increasingly complex, one way of increasing performance and making the mobile network more self-autonomous is to apply machine learning techniques. For example, machine learning can be used to predict signal strength for certain frequencies or cells given a position in the radio environment. Such prediction models rely on signal strength measurements carried out by real devices, where measurements may be imperfect or biased in different ways, causing bad predictions.\nA central challenge in building such models from operational network data is that a substantial fraction of measurements may be missing, either because the true signal falls below the hardware detection limit, a left-censoring mechanism, or because of transient reporting failures unrelated to signal strength.\nAn earlier master thesis evaluated modelling strategies for frequency coverage models. The work in this thesis will focus on building cell coverage models instead, as well as refining the evaluation strategies for missing labels. The data set will consist of measurements already collected by Ericsson from a real radio access network.\nWhat you will do:\n Investigate and compare different techniques for handling missing labels for cell coverage models. \nApply a selection of techniques to evaluate their performance. \nThe thesis will be concluded with a result presentation for the Ericsson development team. \nThe skills you bring:\nMaster´s student in computer science, computer engineering or statistics and machine learning.\nWhy join Ericsson?\nAt Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.\nWhat happens once you apply?\nClick Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.\nPrimary country and city: Sweden (SE) || Linköping\nReq ID: 792030","description_format":"text","description_chars":2615,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Networks","Telecom Infrastructure","Network Equipment"],"lifecycle":[{"event":"open","at":"2026-10-11T13:14:37Z"}],"visa":[],"liveness":{"score":45,"band":"ok","label":"Likely open","p_open":1,"p_active":0.499,"p_room":0.9,"age_days":13,"expected_fill_days":32,"reasons":["conf:1","stale_co","win:mid","comp:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/ericsson-master-thesis-strategies-for-missing-ml-data-labels","json_url":"https://alion.io/job/ericsson-master-thesis-strategies-for-missing-ml-data-labels.json","meta":{"generated_at":"2026-10-14T15:01:03Z","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":18830,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":56456},"rest":"https://alion.io/mcp/rest/get_company?id=56456"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fericsson-master-thesis-strategies-for-missing-ml-data-labels"},{"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%2Fericsson-master-thesis-strategies-for-missing-ml-data-labels"},{"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%2Fericsson-master-thesis-strategies-for-missing-ml-data-labels"},{"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/ericsson-master-thesis-strategies-for-missing-ml-data-labels\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fericsson-master-thesis-strategies-for-missing-ml-data-labels"}]}