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HomeCompaniesCellumationPhD Researcher - (DC4) Hybrid Learning Control for Agent-Based Intralogistics Systems - CAVECORE (m/w/d)

PhD Researcher - (DC4) Hybrid Learning Control for Agent-Based Intralogistics Systems - CAVECORE (m/w/d)

Cellumation · Bremen Kleiner Ort 5 · Hybrid · Active · Personio

Job facts

FieldValue
CompanyCellumation
TitlePhD Researcher - (DC4) Hybrid Learning Control for Agent-Based Intralogistics Systems - CAVECORE (m/w/d)
Normalized title-
Department / teamSoftware Engineering / Software Engineering
LocationBremen Kleiner Ort 5
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerPersonio
Posted / first seen2025-09-22 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Cellumation.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Personio.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Software Engineering.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCellumation
Source768aed21-6d13-4ce7-bf12-f2d8604d916b
ATS providerPersonio

Description

Your mission You will research and develop innovative, hybrid machine learning control systems for use in the Celluveyor system. The exact research focus will be determined jointly during the first year of the project. You will implement, integrate, test, and validate the developed algorithms on real production systems as well as on hardware and embedded software platforms. You will analyze and optimize control strategies for intelligent, modular conveyor systems using modern methods from machine learning and automation technology. You will conduct scientific research, publish research results at international conferences and in academic journals, and write your dissertation as part of your work. You will participate in training sessions, international research stays (secondments, e.g., in Bielefeld and York), as well as networking and exchange activities within the project. You will work closely with industry partners and academic institutions within a European research network and contribute your results to joint projects. Your profile You hold a master’s degree (or equivalent) in computer science, engineering, robotics, or a related field. You meet the MSCA eligibility requirements: a maximum of four years of research experience following your master’s degree and no completed doctoral degree. You have excellent programming skills in C++ and Python, as well as experience in developing complex software systems. You bring in-depth knowledge of machine learning, (multi-agent) path planning, robotics software (e.g., ROS2), and simulation techniques. Ideally, you have some experience with embedded software or hardware-related development; knowledge in the field of intralogistics is a plus but not a requirement. You quickly familiarize yourself with new topics and are interested in interdisciplinary issues at the intersection of machine learning, control theory, and robotics. You work in a structured, independent, and self-directed manner and are motivated to develop your own research focus areas and publish scientific papers. You can analyze complex problems and drive solutions from research through to practical implementation in real-world systems. You communicate clearly and enjoy collaborating with industry and research partners in international and interdisciplinary teams. You have excellent written and spoken English skills. You are open to international mobility (e.g., research stays abroad) as part of the project. Important requirement: Early-career researchers: At the time of hire, you must be in the first four years of your academic career and not yet have earned a doctoral degree. Mobility rule: In the three years immediately preceding your start date, you may not have resided in Germany or carried out your primary activity (work, studies, etc.) there for more than twelve months. For applicants outside the EU: You must apply for a work visa for Germany/the EU; therefore, additional requirements (language certificates, etc.) may be necessary. Why us? Diversity : Because we’re a diverse team: We’re young, we’re old, we’re international yet proud of our local roots, we’re tinkerers, we’re all-rounders, we’re experts. You’re more than welcome! Team Spirit : Here you’ll find flat hierarchies, room for ideas, and—if you’re up for it—group barbecues or other events. Development : We place great value on progress and development—we want not only to grow as a company, but also for you to grow with cellumation. That’s why we support you in your potential-oriented development and professional training. Equipment : Here, you’ll be equipped with state-of-the-art hardware and work in bright, quiet office spaces. And of course, there’s always coffee! Health : Your health is important to us. That’s why we provide ergonomic office equipment, such as height-adjustable desks. Thanks to our company fitness program, you can stay active after work at a location that suits you. Flexibility : We offer flexible working hours, 30+ days of vacation, and the option to work remotely. Kontakt Recruiting-Team [email protected] +49 421 331135 40

Full job record

Job ID16c2060ca8553bb8ed7b6b2a34c54f784351beea
Org IDc672fb02-023e-44e0-9861-4585d4db8aa6
Source ID768aed21-6d13-4ce7-bf12-f2d8604d916b
Board ID768aed21-6d13-4ce7-bf12-f2d8604d916b
Providerpersonio
Provider Job Key2353617
TitlePhD Researcher - (DC4) Hybrid Learning Control for Agent-Based Intralogistics Systems - CAVECORE (m/w/d)
Normalized Title
Statusactive
Activeyes
Location TextBremen Kleiner Ort 5
DepartmentSoftware Engineering
TeamSoftware Engineering
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryBremen Kleiner Ort 5
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://cellumation.jobs.personio.de/job/2353617?language=en
Apply URLhttps://cellumation.jobs.personio.de/job/2353617?language=en
First Seen At2026-05-30 05:55:22Z
Last Seen At2026-06-06 07:55:57Z
Last Checked At2026-06-06 07:55:57Z
Last Changed At2026-05-30 05:55:22Z
Inactive At
Source Posted At2025-09-22 08:30:35Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=personio/board=cellumation.de/date=2026-06-06/2026-06-06T07-55-57-440Z-a62442af8d03b7d146fc104ebbc8baf91377e2b0f39f01030299fadb00f58cad.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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Extensions
{}
Native Structured
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    {
      "name": "Your mission",
      "value": "<ul><li>You will research and develop innovative, hybrid machine learning control systems for use in the Celluveyor system. The exact research focus will be determined jointly during the first year of the project.</li><li>You will implement, integrate, test, and validate the developed algorithms on real production systems as well as on hardware and embedded software platforms.</li><li>You will analyze and optimize control strategies for intelligent, modular conveyor systems using modern methods from machine learning and automation technology.</li><li>You will conduct scientific research, publish research results at international conferences and in academic journals, and write your dissertation as part of your work.</li><li>You will participate in training sessions, international research stays (secondments, e.g., in Bielefeld and York), as well as networking and exchange activities within the project.</li><li>You will work closely with industry partners and academic institutions within a European research network and contribute your results to joint projects.</li></ul>"
    },
    {
      "name": "Your profile",
      "value": "<ul><li>You hold a master’s degree (or equivalent) in computer science, engineering, robotics, or a related field.</li><li>You meet the MSCA eligibility requirements: a maximum of four years of research experience following your master’s degree and no completed doctoral degree.</li><li>You have excellent programming skills in C++ and Python, as well as experience in developing complex software systems.</li><li>You bring in-depth knowledge of machine learning, (multi-agent) path planning, robotics software (e.g., ROS2), and simulation techniques.</li><li>Ideally, you have some experience with embedded software or hardware-related development; knowledge in the field of intralogistics is a plus but not a requirement.</li><li>You quickly familiarize yourself with new topics and are interested in interdisciplinary issues at the intersection of machine learning, control theory, and robotics.</li><li>You work in a structured, independent, and self-directed manner and are motivated to develop your own research focus areas and publish scientific papers.</li><li>You can analyze complex problems and drive solutions from research through to practical implementation in real-world systems.</li><li>You communicate clearly and enjoy collaborating with industry and research partners in international and interdisciplinary teams.</li><li>You have excellent written and spoken English skills.</li><li>You are open to international mobility (e.g., research stays abroad) as part of the project.</li></ul><br><strong>Important requirement:</strong><br><ul><li>Early-career researchers: At the time of hire, you must be in the first four years of your academic career and not yet have earned a doctoral degree.</li><li>Mobility rule: In the three years immediately preceding your start date, you may not have resided in Germany or carried out your primary activity (work, studies, etc.) there for more than twelve months.</li><li>For applicants outside the EU: You must apply for a work visa for Germany/the EU; therefore, additional requirements (language certificates, etc.) may be necessary.  </li></ul><br><br>"
    },
    {
      "name": "Why us?",
      "value": "<ul><li><strong>Diversity</strong>: Because we’re a diverse team: We’re young, we’re old, we’re international yet proud of our local roots, we’re tinkerers, we’re all-rounders, we’re experts. You’re more than welcome!</li><li><strong>Team Spirit</strong>: Here you’ll find flat hierarchies, room for ideas, and—if you’re up for it—group barbecues or other events.</li><li><strong>Development</strong>: We place great value on progress and development—we want not only to grow as a company, but also for you to grow with cellumation. That’s why we support you in your potential-oriented development and professional training.</li><li><strong>Equipment</strong>: Here, you’ll be equipped with state-of-the-art hardware and work in bright, quiet office spaces. And of course, there’s always coffee!</li><li><strong>Health</strong>: Your health is important to us. That’s why we provide ergonomic office equipment, such as height-adjustable desks. Thanks to our company fitness program, you can stay active after work at a location that suits you.</li><li><strong>Flexibility</strong>: We offer flexible working hours, 30+ days of vacation, and the option to work remotely.</li></ul>"
    },
    {
      "name": "Kontakt",
      "value": "Recruiting-Team<br>[email protected]<br>+49 421 331135 40"
    }
  ],
  "occupationCategory": "it_software",
  "recruitingCategory": "Software Engineering"
}
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