{"id":1374282,"url":"https://alion.io/job/hipeac-phd-position-in-neuromorphic-computing-fpga-design-and-hardware-acceleration","title":"PhD position in Neuromorphic Computing, FPGA Design, and Hardware Acceleration","company":{"id":1803494,"name":"HiPEAC","domain":"hipeac.net","url":"https://alion.io/company/hipeac","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":74,"open_postings":25,"ghost_share":0.52,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Hardware","role_family":"Hardware","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Groningen, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":98000,"period":"year","method":"role_country_seniority_unknown","sample_n":58},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Python","optional":false},{"name":"SystemVerilog","optional":false},{"name":"Verilog","optional":false},{"name":"VHDL","optional":false},{"name":"Xilinx Vivado","optional":false}],"status":"live","first_seen_at":"2026-08-12T14:43:55Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-20T10:31:21Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":68},"description":"HiPEAC Are you excited about designing the next generation of energy-efficient AI hardware? Do you want to contribute to cutting-edge research at the intersection of neuromorphic computing, computer architecture, and hardware acceleration?\nThe University of Groningen is seeking a highly motivated PhD candidate to join the international QuNeCo project, a collaborative research initiative between leading universities in the Netherlands and Japan. As part of an interdisciplinary team, you will develop novel neuromorphic computing architectures inspired by the human brain to enable future heterogeneous computing systems with unprecedented energy efficiency and performance.\nThis PhD position offers the opportunity to collaborate with internationally renowned researchers, publish in leading conferences and journals, and gain experience in architecture design, hardware implementation, FPGA prototyping, and AI applications.\nWhat are you going to do?\nAs a PhD candidate, you will contribute to the design and development of next-generation neuromorphic computing systems through algorithm-hardware co-design and computing-in-memory technologies. Your research will span the complete hardware design flow, from architectural exploration to hardware prototyping and experimental evaluation.\nProject website: https://www.quneco.org/\nYour responsibilities include:\nDesigning novel neuromorphic computing architectures based on application requirements and heterogeneous computing use cases.*\nInvestigating emerging memory technologies, including SRAM, RRAM, MRAM, and FeRAM, for efficient neuromorphic hardware implementations.\nDeveloping RTL implementations of neuromorphic architectures using hardware description languages and validating their functionality through simulation.\nEvaluating performance, energy efficiency, and scalability using industry-standard electronic design automation (EDA) tools.\nDeveloping representative AI and neuromorphic applications to demonstrate the proposed architectures.\nPrototyping hardware accelerators on FPGA platforms and integrating them into heterogeneous computing systems.\nPerforming comprehensive experimental evaluations and publishing research findings in leading international conferences and journals.\nCollaborating closely with project partners in the Netherlands and Japan and participating in international project meetings, workshops, and research visits.\nContributing to teaching activities and supervising Bachelor’s and Master’s students where appropriate.\nWho are you?\nWe are looking for an enthusiastic researcher who enjoys solving challenging problems and working in an international research environment.\nYou should have:\nA Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, Embedded Systems, or a closely related field.\nA strong background in computer architecture and digital hardware design.\nExperience with hardware description languages such as Verilog, SystemVerilog, or VHDL.\nFamiliarity with FPGA development or RTL design methodologies.\nKnowledge of computer architecture, hardware accelerators, AI hardware, or neuromorphic computing.\nProgramming experience in Python and/or C/C++.\nExperience with EDA tools (e.g., Cadence, Synopsys, Vivado) is considered an advantage.\nInterest in emerging memory technologies and computing-in-memory architectures is desirable.\nExcellent English communication skills, both written and spoken.\nStrong analytical abilities, creativity, and the motivation to conduct independent research while collaborating within an international team.\nAbout\nUniversity of Groningen\nThe University of Groningen, founded in 1614, is a renowned research university that emphasizes quality in education and research, nurturing 30,000 students in a diverse array of disciplines with a …\nMetadata\nTopics: Accelerators, EDA, FPGAs, Hardware\nSummary\nThe University of Groningen seeks a PhD candidate in Neuromorphic Computing to develop energy-efficient AI hardware. Responsibilities include architecture design, FPGA prototyping, and collaboration on cutting-edge research.\nExternal links\nhttps://werkenbij.rug.nl/vacature/phd-position-in…","description_format":"text","description_chars":4156,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":["E-learning","Virtual Events"],"lifecycle":[{"event":"open","at":"2026-09-28T06:00:15Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.246,"p_room":0.35,"age_days":68,"expected_fill_days":21,"reasons":["conf:1","stale_co","velocity","win:tail"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/hipeac-phd-position-in-neuromorphic-computing-fpga-design-and-hardware-acceleration","json_url":"https://alion.io/job/hipeac-phd-position-in-neuromorphic-computing-fpga-design-and-hardware-acceleration.json","meta":{"generated_at":"2026-10-20T13:38:34Z","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":15226,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":1803494},"rest":"https://alion.io/mcp/rest/get_company?id=1803494"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhipeac-phd-position-in-neuromorphic-computing-fpga-design-and-hardware-acceleration"},{"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%2Fhipeac-phd-position-in-neuromorphic-computing-fpga-design-and-hardware-acceleration"},{"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%2Fhipeac-phd-position-in-neuromorphic-computing-fpga-design-and-hardware-acceleration"},{"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/hipeac-phd-position-in-neuromorphic-computing-fpga-design-and-hardware-acceleration\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhipeac-phd-position-in-neuromorphic-computing-fpga-design-and-hardware-acceleration"}]}