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Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None initially Working Model: Remote / hybrid. Regular time on-site in Bremen. Mission Own the product direction for Constructor's quantum software line and act as the bridge between a research group and a technology platform. This is a hands-on role in a small technical team, not portfolio management. The Head of Product decides what gets built, keeps research and engineering pointed at something shippable, and owns the relationship with the customers and partners who use it. Responsibilities Pillar 1 Product Direction Own the roadmap for the quantum software line and the decisions behind it. Define which capabilities go into the Constructor technology platform and in what order. Translate research capability into product that someone outside the group will pay for or use. Kill work that is not going anywhere, and say so clearly. Success Metrics and KPIs: roadmap delivered, features adopted, decisions made and held. Pillar 2 Research and Engineering Interface Sit between physicists and engineers and keep both productive. Run planning and prioritisation for a small, senior, opinionated team. Hold the technical depth to challenge both sides rather than relay between them. Accountability: research output converted into shipped product. Pillar 3 External Engagement Own customer, partner and vendor relationships directly. Work with Constructor Tech and Constructor University on joint offerings and teaching applications. Represent the group externally at conferences and with partners. Success Metrics and KPIs: partner engagements initiated and sustained, external visibility of the group. Requirements Experience Technical background in physics, engineering or computer science, with enough depth to hold your own with research scientists. Taken scientific or deep-tech software from research prototype to product. Run customer and partner engagements personally, not through a sales team. Worked somewhere small enough that the product person also does the work. Skills & Competencies Strong facilitation. You will be the person keeping a room of physicists on track. Comfortable being the only product person present. Able to say no and explain why. Clear communication with technical and non-technical audiences. Education & Languages Degree in a technical discipline; postgraduate qualification an advantage. Fluent English. What This Role Is (and Is Not) This role IS Hands-on, senior, and accountable for what the group ships. A role with real decision authority over direction. Externally facing. This role is NOT A programme or portfolio management role. A role with a product team reporting into it from day one. A commercial role without technical substance.

Location: Germany Location: Remote within Europe, with regular presence in Bremen Direct Reports: None initially; technical leadership across the engineering group Mission Own the architecture of the software platform on which Constructor Labs' quantum group builds. The platform drives physical quantum hardware end to end — calibration, orchestration, experiment execution and device state — and must work both in our own cloud and on customer premises, including restricted and air-gapped environments. The Principal Architect sets the technical direction, makes the structural decisions, and is the senior engineering voice in a group where research and engineering sit closely together. Responsibilities Pillar 1 Platform Architecture Own the end-to-end architecture across backend services, job orchestration, hardware abstraction and device state management. Define the interfaces between the scientific layer and the platform layer so physicists can work without engineering support. Make and carry the build-versus-buy and framework decisions; document them so they survive the people who made them. Lead the migration of the platform onto the Constructor technology stack. Success Metrics and KPIs: architectural decisions documented and adopted, platform stability, migration delivered to plan. Pillar 2 Hands-on Engineering Write production code in the core of the system, not only design documents. Own the hardest components personally — those where correctness and performance both matter. Set and enforce engineering standards: testing, review, structured logging, dependency governance. Remove single points of failure so no component has only one person who understands it. Success Metrics and KPIs: test coverage, review discipline, bus factor above one on every core component. Pillar 3 Working with Research Work day to day with research physicists, translating experimental workflows into software. Keep the research and engineering collaboration model intact as the group grows. Support the product function with realistic estimates and honest technical constraints. Accountability: research team able to run experiments without engineering bottlenecks. Requirements Experience 10+ years building production software systems, with real depth in Python, C#/.NET or C++. Distributed systems, job scheduling, and interfacing with instruments or physical hardware. Track record as the senior technical voice in a small team. Delivered software into on-premise and restricted environments, not only cloud. Skills & Competencies Able to hold an architecture in your head and explain it simply to people who are not engineers. Comfortable in a scientific domain. A physics degree is not required, genuine interest is. Pragmatic about trade-offs; able to ship rather than perfect. Strong written communication. Decisions that are not written down do not exist. Education & Languages Degree in computer science, physics, engineering or equivalent practical track record. Fluent English. German useful, not required. What This Role Is (and Is Not) This role IS Deeply hands-on, with real authority over technical direction. Central to everything the quantum group builds. A role where you will have peers and a platform behind you. This role is NOT A management track role. An architecture-committee or advisory position. A role where someone else writes the hard code.

Location: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Bremen, Germany Mission Der Projektmanager-Drittmittelverwaltung stellt ein professionelles und regelkonformes Management von Fördermitteln sowie die ordnungsgemäße Nachbearbeitung geförderter Forschungsprojekte sicher. Dabei liegt ein besonderer Fokus auf deutschen Förderinstrumenten und den damit verbundenen Anforderungen. In enger Zusammenarbeit mit Principal Investigators und Projektteams unterstützt die Position die erfolgreiche Umsetzung von Forschungsprojekten hinsichtlich Zeitplanung, Budgetkontrolle und Compliance. Die Rolle ist ein wichtiger Baustein beim Ausbau leistungsfähiger Forschungs- und Verwaltungs-strukturen innerhalb von Constructor Labs und Constructor University. Sie fördert die effektive Zusammenarbeit zwischen Wissenschaft, Verwaltung und externen Partnerorganisationen und trägt dazu bei, höchste Standards in der Durchführung geförderter Forschungsvorhaben zu ge-währleisten. Aufgaben Pre-Award Grant Management Überwachung der Förderlandschaft, insbesondere deutscher Förderprogramme wie DFG, BMBFTR, DAAD und anderer Programme, sowie Aufbau einer vorausschauenden Antragspipeline. Abstimmung von Fördermöglichkeiten mit den Forschungstätigkeiten der Principal Investigators (PIs) von Constructor Labs und der Fakultät der Constructor University sowie Initiierung und Koordination der Antragsentwicklung. Gemeinsame Entwicklung wettbewerbsfähiger Förderanträge mit PIs und Fakultätsmitgliedern, einschließlich Budgetplanung und Einhaltung der Förderbedingungen. Koordination von Verhandlungen zu Förder- und Konsortialvereinbarungen in Zusammenarbeit mit der Rechtsabteilung sowie Unterstützung von Partnervertragsverhandlungen, sofern die Constructor University oder Constructor Labs federführend ist. Post-Award Grant Management Verantwortung für den gesamten Post-Award-Lifecycle eines Portfolios geförderter Forschungsprojekte – von der Vertragsgestaltung über die Umsetzung, Berichterstattung und Änderungen bis hin zum Abschluss – sowie Sicherstellung, dass Meilensteine, Arbeitspakete, Budgets und vertragliche Verpflichtungen erfüllt werden. Überwachung der Projektbudgets, förderfähigen Kosten, Ausgaben und finanziellen Risiken in enger Zusammenarbeit mit dem Controlling-Team sowie Koordination von Budgetumverteilungen, Verlängerungen, Partnerwechseln und weiteren Anpassungen mit allen relevanten internen und externen Stakeholdern. Vorbereitung und Koordination wissenschaftlicher und administrativer Berichte für Fördermittelgeber, einschließlich DFG, BMBFTR, DAAD und anderer relevanter Förderprogramme. Überwachung von Förderbedingungen, Berichtsformularen und Compliance-Vorgaben sowie Sicherstellung, dass diese in den internen Prozessen berücksichtigt werden. Tätigkeit als Hauptansprechpartner zwischen Forschenden, Finanzen, Rechtsabteilung, Personalabteilung, Konsortialpartnern und Fördermittelgebern. Unterstützung des Konsortiummanagements, einschließlich Partnerberichterstattung, Dokumentensammlung und Koordination von Meetings. Unterstützung bei der Implementierung standardisierter Software und digitaler Tools. Planung und Durchführung von Workshops und Schulungen zur Antragstellung für nationale Forschungsförderung. Dein Profil Erfahrung Mehrjährige Berufserfahrung, idealerweise zwei bis fünf Jahre, im Fördermittelmanagement, Forschungsprojektmanagement oder in der Verwaltung von Drittmittelprojekten. Praktische Erfahrung in der Betreuung und Verwaltung von Forschungsprojekten, vorzugsweise an einer Hochschule, Forschungseinrichtung, Drittmittelabteilung oder in einem forschungsintensiven Umfeld. Fundierte Kenntnisse des deutschen Forschungsfördersystems, idealerweise mit Erfahrung in Programmen der DFG, des BMBF, des DAAD oder vergleichbarer öffentlicher Fördergeber. Erfahrung in der Projektbudgetierung und Budgetüberwachung sowie im Umgang mit Förderregularien, Berichterstattungspflichten, Audits und Dokumentationsanforderungen. Nachgewiesene Zusammenarbeit mit Projektleitungen (Principal Investigators), Forschenden, Finanz-, Rechts- und Personalabteilungen sowie externen Partnern und Fördermittelgebern. Fähigkeit, mehrere Projekte gleichzeitig zu steuern und dabei unterschiedliche Fristen, Förderrichtlinien, Berichtszyklen und Stakeholder-Anforderungen zuverlässig zu koordinieren. Fähigkeiten und Kompetenzen Ausgeprägte Projektmanagementkompetenz mit der Fähigkeit, komplexe Fördervereinbarungen in klare Arbeitspläne, Verantwortlichkeiten, Meilensteine, Fristen und Berichtsprozesse zu übersetzen sowie mehrere Projekte parallel zu steuern. Fundiertes Verständnis der finanziellen und administrativen Compliance-Anforderungen in geförderten Forschungsprojekten sowie die Fähigkeit, Budgets, Finanzprognosen und Fragen zur Förderfähigkeit von Kosten strukturiert und zuverlässig zu managen. Hervorragende Fähigkeiten im Stakeholder-Management und in der Kommunikation sowie die Fähigkeit zur erfolgreichen Zusammenarbeit mit Forschenden, Finanz-, Rechts- und Personalabteilungen, externen Partnern und Fördermittelgebern und zur verständlichen, serviceorientierten Vermittlung komplexer Förderanforderungen. Hohe Eigeninitiative und ausgeprägte Umsetzungsorientierung sowie die Fähigkeit, erforderliche Informationen proaktiv einzuholen, Unstimmigkeiten zu klären, Risiken frühzeitig zu erkennen und Projekte auch unter sich verändernden Rahmenbedingungen zielgerichtet voranzutreiben. Sehr hohe Sorgfalt und Genauigkeit sowie ein ausgeprägtes Verständnis für eine belastbare und revisionssichere Dokumentation. Erfahrung in der Einführung, Weiterentwicklung oder Anwendung von Forschungsinformations- beziehungsweise Projektmanagementsystemen sowie in der Erstellung von Portfolio- und Management-Dashboards für Berichts- und Entscheidungsprozesse ist von Vorteil. Ausbildung und Sprachen Erfolgreich abgeschlossenes Bachelor- oder Masterstudium, vorzugsweise in den Naturwissenschaften, der Betriebswirtschaft, Volkswirtschaft, öffentlichen Verwaltung, im Wissenschaftsmanagement, Projektmanagement oder einem vergleichbaren Fachgebiet. Verhandlungssichere Deutsch- und Englischkenntnisse in Wort und Schrift. Was diese Position auszeichnet Diese Position ist Eine operative Rolle im Pre-Award- und Post-Award-Management von drittmittelfinanzierten Forschungsprojekten. Stark auf die praktische Umsetzung, administrative Exzellenz und die Einhaltung von Förder- und Compliance-Anforderungen ausgerichtet. Von zentraler Bedeutung für die erfolgreiche Durchführung geförderter Forschungsprojekte im Hinblick auf Zeitpläne, Budgets und die Einhaltung der Vorgaben von Fördermittelgebern. Eine bereichsübergreifende Schnittstellenfunktion, die Forschende, Finanzwesen, Rechtsabteilung, Personalwesen, externe Partner und Förderinstitutionen miteinander verbindet. Diese Position ist nicht Eine ausschließlich strategische oder beratende Funktion. Eine Position mit ausschließlichem Fokus auf Fördermittelakquise oder Antragserstellung. Eine Führungsposition mit Gesamtverantwortung für die Forschungs- und Fördermittelstrategie einer Forschungseinrichtung oder einer Drittmittelabteilung. Eine rein wissenschaftliche Forschungsposition ohne administrative und projektbezogene Verantwortung.

Location: Bremen, Germany Mission The purpose of this role is to ensure professional, compliant, and execution-oriented award and post-award management of externally funded research projects, with a primary focus on German  funding schemes. The Grant Manager will support Principal Investigators, Faculty, research teams, and administrative stakeholders in delivering funded projects on time, within budget, and in full compliance with funder, legal, financial, and institutional requirements. This role is central to building Constructor Labs’ and Constructor University research operations capability and enabling high-quality collaboration between researchers, finance, legal, HR, external partners, and funding bodies. Duties and Responsibilities: Pillar 1: Pre-Award Grant Management Monitor funding landscapes (German Funding Scemes like DFG, BMBFTR, DAAD, and others); maintain the grants calendar and build a forward-looking application pipeline. Match funding opportunities to the research activities of Constructor Labs Principal Investigators (PIs) and Constructor University Faculty; initiate and coordinate proposal development. Co-develop competitive grant proposals with PIs and faculty, including budget design, and compliance requirements. Coordinate grant agreement and consortium agreement negotiations with Legal, and support partner contract negotiations where Constructor University or Constructor Labs leads. Pillar 2 Post-Award Grant Management Own the full post-award lifecycle across a portfolio of funded research projects — from contract setup through implementation, reporting, amendments, and close-out — ensuring milestones, deliverables, budgets, and contractual commitments are tracked and met. Monitor project budgets, eligible costs, spending rates, and financial risks in close cooperation with Controlling Team; coordinate amendments, budget reallocations, extensions, partner changes, and other modifications with all relevant internal and external stakeholders. Prepare and coordinate scientific, narrative, and administrative reports for funders, including DFG, BMBFTR, DAAD, and other relevant funding schemes; track funder rules, reporting templates, and compliance obligations and ensure they are reflected in internal processes. Serve as the primary liaison between researchers, Finance, Legal, HR, consortium partners, and funders; support consortium management including partner reporting, documentation collection, and meeting coordination. Support the implementation and operation of standardised software and digital tools across all active projects, as approved by the Director of Research and Transfer. Qualifications and Experience: Experience: 2–5 years of experience in grant management, research project management, research administration, sponsored projects, or third-party funded project administration. Hands-on experience managing research projects in a university, research institute, RTO, technology organisation, or research-intensive environment. Practical understanding of German research funding systems, ideally including DFG, BMBFTR, DAAD, or comparable public funding programmes. Experience with project budgets, financial monitoring, eligible-cost rules, funder reporting, audits, and documentation standards. Experience working with Principal Investigators, researchers, finance teams, legal teams, HR, external partners, and funding bodies. Experience managing several projects simultaneously with different deadlines, funder rules, reporting cycles, and stakeholder expectations. Skills & Competencies Strong project management discipline: able to convert complex grant agreements into clear workplans, deadlines, responsibilities, and reporting routines, and manage multiple projects in parallel. Strong understanding of financial and administrative compliance in externally funded research projects; able to manage budgets, forecasts, cost eligibility questions in a structured way. Strong stakeholder coordination and communication skills: able to work effectively with researchers, Finance, Legal, HR, external partners, and funders, and explain funding requirements in a practical, service-oriented way. High ownership mindset: proactively chases inputs, resolves inconsistencies, anticipates risks, and moves projects forward without waiting for perfect conditions. Excellent attention to detail, accuracy, and documentation habits. Experience implementing or operating research or project management information systems and building portfolio dashboards for leadership reporting is a strong advantage. Education & Languages Bachelor’s or Master’s degree in natural sciences, business administration, economics, public administration, science management, project management, research administration, or a related field. Fluent German and English (written and spoken). What This Role Is (and Is Not) This role IS A hands-on pre- and post-award project management role for externally funded research projects. Operational, detail-oriented, and compliance-driven. Central to ensuring that funded research projects are delivered on time, within budget, and in accordance with funder requirements. A cross-functional role connecting researchers, finance, legal, HR, external partners, and funding agencies. This role is NOT A purely strategic or advisory role. A fundraising-only or proposal-writing-only position. A senior RTO leadership role with responsibility for the full research funding strategy. A purely academic research role.

Location: Bulgaria Mission The purpose of this role is to lead the delivery of consulting, implementation, development, and support projects for customers in the education sector. Constructor is a global provider of education and research technology, serving schools, higher education, enterprises, and professional education providers. As a senior individual contributor within Constructor. Nexademy team, the Senior Project Manager is responsible for the end-to-end delivery of projects, ensuring they are delivered on time, within budget, and to the highest quality standards, while serving as the primary operational point of contact for customers. The role is accountable for measurable outcomes: on-time delivery, budget adherence, customer satisfaction, and retention. Duties & Responsibilities : Pillar 1 —  Presales, Project Planning, Execution & Delivery Contribute to presales by defining scope, producing effort estimates, and writing the technical sections of proposals and SOWs. Develop comprehensive project plans covering scope, timeline, resource allocation, dependencies, and risk assessment. Lead the technical delivery of implementations, including platform deployment, configuration, SSO, LTI and API integrations, and data migrations, working hands-on with customer IT teams and Constructor engineering. Monitor progress against the baseline, and proactively identify issues or risks before they affect delivery. Implement corrective actions and change management to keep projects on track across scope, schedule, and resources. Coordinate internal resources and third parties or vendors to ensure project completion. Apply industry best practices, techniques, and standards throughout the project lifecycle. Monitor and handle the change requests required for project implementation. Success Metrics and KPIs : on-time delivery rate, schedule variance, budget variance, quality of deliverables, number of escalations resolved within SLA. Pillar 2 — Client & Technical Account Management Establish and maintain strong, trust-based relationships with clients and stakeholders. Communicate project status, progress, challenges, and risks clearly to all parties. Manage customer expectations and address concerns proactively. Engage proactively with Premier Customers and Partners to ensure alignment on project goals and implementation. Oversee Premier Customer onboarding for new solutions, manage customization requests, and ensure a smooth handover. Represent Premier Customer interests when discussing feature requests and product issues with Engineering, and track and prioritize feature requests, code improvements, and bugfixes Implement new solutions and deploy packages, hotfixes, and upgrades, then perform post-upgrade service availability checks. Guide Premier Customers in adopting Constructor Tech best practices, including risk assessments and health checks. Remain available during Premier Customer business hours to provide timely support. Success Metrics and KPIs : customer satisfaction (CSAT) and Net Promoter Score (NPS), retention rate, feature request cycle time, onboarding completion time. Pillar 3 — Incident Management, Quality & Reporting Own all support incidents and requests submitted by Premier Customers and drive them to resolution, working with L1/L2 support and Engineering. Coordinate escalations, and conduct post-incident reviews and root cause analyses (RCAs) when Premier Customers request them. Ensure adherence to quality standards throughout the project lifecycle and implement quality improvement initiatives. Maintain Premier Support Customer CSAT and NPS through outcome-driven activities, and own Service Levels and other KPIs per contract terms. Report on Premier Support Customers, including trend analysis, current health status, and manager-defined KPIs, on schedule or on demand. Keep customer information up to date and shared as internal knowledge content. Participate in support-related activities and handle non-premier support tasks at the manager's request. Continuously build practical experience with Constructor Tech products and related software solutions for education and science. Success Metrics and KPIs : incident resolution time, escalation rate, CSAT/NPS targets, SLA adherence per contract, quality audit results. Qualifications & Experience: Required: At least five years of experience in IT project management (internal, customer implementation, and/or consultancy). A proven track record of hands-on delivery of complex SaaS deployments and integrations, including SSO, LTI, and APIs, as well as data migrations. You will be expected to walk through the technical architecture of projects you have delivered. A proven track record of successful project delivery: on time, within budget, and to quality standards. Experience scoping and estimating projects and contributing to proposals or SOWs. Preferred: Exposure to EdTech or learning management systems (e.g., Canvas, Moodle, LTI tools, SCORM/xAPI). PMP certification. A good understanding of software development methodologies. Skills & Competencies: Strong communication and interpersonal skills. Ability to work under pressure and meet deadlines. Results-oriented, with a focus on measurable delivery outcomes rather than activity. Education & Languages: Bachelor's degree in Computer Science, Information Technology, or a related field. Fluent English. Knowledge of German is a bonus What This Role Is (and Is Not) This role IS: Delivery-focused and accountable for measurable project outcomes. A balance of hands-on technical delivery, project execution, and strategic customer and technical account management. A contributor to presales: scoping, estimates, and the technical sections of proposals. Hands-on and customer-facing, with clear targets and KPIs. A long-term delivery-ownership track: you own projects and customers through implementation and beyond. This role is NOT: A  product management role or a path into product management. Product roadmaps are owned by Constructor Tech product teams. A purely administrative or coordination-only position. A role measured by activity volume rather than delivered results.

Location: Belgrade, Serbia Mission The purpose of this role is to lead the delivery of consulting, implementation, development, and support projects for customers in the education sector. Constructor is a global provider of education and research technology, serving schools, higher education, enterprises, and professional education providers. As a senior individual contributor within Constructor. Nexademy team, the Senior Project Manager is responsible for the end-to-end delivery of projects, ensuring they are delivered on time, within budget, and to the highest quality standards, while serving as the primary operational point of contact for customers. The role is accountable for measurable outcomes: on-time delivery, budget adherence, customer satisfaction, and retention. Duties & Responsibilities : Pillar 1 —  Presales, Project Planning, Execution & Delivery Contribute to presales by defining scope, producing effort estimates, and writing the technical sections of proposals and SOWs. Develop comprehensive project plans covering scope, timeline, resource allocation, dependencies, and risk assessment. Lead the technical delivery of implementations, including platform deployment, configuration, SSO, LTI and API integrations, and data migrations, working hands-on with customer IT teams and Constructor engineering. Monitor progress against the baseline, and proactively identify issues or risks before they affect delivery. Implement corrective actions and change management to keep projects on track across scope, schedule, and resources. Coordinate internal resources and third parties or vendors to ensure project completion. Apply industry best practices, techniques, and standards throughout the project lifecycle. Monitor and handle the change requests required for project implementation. Success Metrics and KPIs : on-time delivery rate, schedule variance, budget variance, quality of deliverables, number of escalations resolved within SLA. Pillar 2 — Client & Technical Account Management Establish and maintain strong, trust-based relationships with clients and stakeholders. Communicate project status, progress, challenges, and risks clearly to all parties. Manage customer expectations and address concerns proactively. Engage proactively with Premier Customers and Partners to ensure alignment on project goals and implementation. Oversee Premier Customer onboarding for new solutions, manage customization requests, and ensure a smooth handover. Represent Premier Customer interests when discussing feature requests and product issues with Engineering, and track and prioritize feature requests, code improvements, and bugfixes Implement new solutions and deploy packages, hotfixes, and upgrades, then perform post-upgrade service availability checks. Guide Premier Customers in adopting Constructor Tech best practices, including risk assessments and health checks. Remain available during Premier Customer business hours to provide timely support. Success Metrics and KPIs : customer satisfaction (CSAT) and Net Promoter Score (NPS), retention rate, feature request cycle time, onboarding completion time. Pillar 3 — Incident Management, Quality & Reporting Own all support incidents and requests submitted by Premier Customers and drive them to resolution, working with L1/L2 support and Engineering. Coordinate escalations, and conduct post-incident reviews and root cause analyses (RCAs) when Premier Customers request them. Ensure adherence to quality standards throughout the project lifecycle and implement quality improvement initiatives. Maintain Premier Support Customer CSAT and NPS through outcome-driven activities, and own Service Levels and other KPIs per contract terms. Report on Premier Support Customers, including trend analysis, current health status, and manager-defined KPIs, on schedule or on demand. Keep customer information up to date and shared as internal knowledge content. Participate in support-related activities and handle non-premier support tasks at the manager's request. Continuously build practical experience with Constructor Tech products and related software solutions for education and science. Success Metrics and KPIs : incident resolution time, escalation rate, CSAT/NPS targets, SLA adherence per contract, quality audit results. Qualifications & Experience: Required: At least five years of experience in IT project management (internal, customer implementation, and/or consultancy). A proven track record of hands-on delivery of complex SaaS deployments and integrations, including SSO, LTI, and APIs, as well as data migrations. You will be expected to walk through the technical architecture of projects you have delivered. A proven track record of successful project delivery: on time, within budget, and to quality standards. Experience scoping and estimating projects and contributing to proposals or SOWs. Preferred: Exposure to EdTech or learning management systems (e.g., Canvas, Moodle, LTI tools, SCORM/xAPI). PMP certification. A good understanding of software development methodologies. Skills & Competencies: Strong communication and interpersonal skills. Ability to work under pressure and meet deadlines. Results-oriented, with a focus on measurable delivery outcomes rather than activity. Education & Languages: Bachelor's degree in Computer Science, Information Technology, or a related field. Fluent English. Knowledge of German is a bonus What This Role Is (and Is Not) This role IS: Delivery-focused and accountable for measurable project outcomes. A balance of hands-on technical delivery, project execution, and strategic customer and technical account management. A contributor to presales: scoping, estimates, and the technical sections of proposals. Hands-on and customer-facing, with clear targets and KPIs. A long-term delivery-ownership track: you own projects and customers through implementation and beyond. This role is NOT: A  product management role or a path into product management. Product roadmaps are owned by Constructor Tech product teams. A purely administrative or coordination-only position. A role measured by activity volume rather than delivered results.

Location: Bremen, Germany Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology About the Position The research group of Dr. Sari Sadiya at Constructor Knowledge Labs (CKL) , in collaboration with Constructor University (CU) and Constructor Technology (CT) , invites applicants for Ph.D. student positions in Computer Science with a focus on wearable intelligence, multimodal data fusion, and edge AI . The project investigates how wearable data streams can be transformed into structured knowledge and integrated into a knowledge-grounded digital avatar that supports bi-directional collaboration in education and research. Ph.D. students will work in a highly interdisciplinary environment, combining AI/ML, edge computing, cognitive science, and human–computer interaction . In close collaboration with academia and industry, they will contribute to building privacy-preserving, real-time personalization frameworks while pursuing their doctoral dissertation. About the Program The PhD program is research-centered, emphasizing original contributions in: Wearable data analytics and fusion methods Biomedical data analytics On-device processing and performance modeling Personalization and adaptive reasoning systems AI for Education Doctoral students will also have access to specialized courses in: Artificial Intelligence, Machine Learning, and Edge Computing Advanced Computational Methods and Data Science Cognitive Science and Human-Centered Computing As part of the program, students will collaborate with Constructor Technology to gain first-hand industrial experience, contributing to real-world testbeds and prototypes. Research Focus This PhD position is part of the Wearable Intelligence Project , with two main research directions: Data fusion of heterogeneous temporal streams Designing algorithms to unify multimodal signals (physiological, cognitive, contextual, scheduling, and learning data). Developing pipelines that produce structured insights powering the Agentic Personalization Engine (APE) . On-device data processing & performance modeling Developing models balancing computation, energy, and data flows across wearable, edge, and cloud environments. Exploring feasibility of running compact micro-LLMs directly on wearables . The overarching goal is to create scalable, ethical, and transparent personalization systems that support education and research. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Supplementary €603 mini-job allowance to support parallel part-time employment (optional) Constructor Knowledge Labs actively supports candidates in preparing applications for external funding — doctoral scholarships, foundations, or international mobility grants — and can provide institutional support and references Applicant Profile Mandatory requirements: MSc degree (or equivalent) in Computer Science, AI/ML, Data Science, Cognitive Science, or related disciplines. Strong background in AI/ML, signal processing, or edge computing. Hands-on experience with wearable or multimodal data (e.g., heart rate, EEG, activity, sleep, GPS) . Solid mathematical and computational modeling skills. Proficiency in academic English writing (e.g., reports, papers, theses). Preferred qualifications: Experience with LLMs, multimodal data fusion, or agent-based AI systems . Familiarity with privacy-preserving ML, dynamic consent, and GDPR-compliant frameworks . Demonstrated ability to conduct independent research and collaborate across disciplines. Interest in teaching, mentoring, and applied industrial research. Application Details Deadline : August 31, 2026 Required documents: Curriculum Vitae (CV); Academic transcripts; Letter of motivation outlining research interests and career goals; 2 recommendation letters. Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Bremen, Germany About the position You are expected to contribute to the development of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and representing deep semantic and pedagogical structures in scientific and educational materials; high-fidelity extraction of conceptual and reasoning blocks; inference-time rationale generation; and adaptive, learner-aware sequencing of content. This includes work on semantic parsing, structured NLP, graph-based neural models, metacognitive prompting, ontology alignment across disciplines, and human-in-the-loop optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences. You will contribute to developing datasets, baseline models, personalized learning engines, reasoning-graph representations, cross-domain mapping algorithms, and RLHF-style feedback loops that improve system interpretability and instructional quality. The successful candidate will also contribute to high-quality publications, release research prototypes, and support demonstrator systems that deliver structured semantic extraction, rationale-aware content generation, and cross-domain transfer of reasoning structures. Additionally, the successful candidate is expected to support teaching activities in areas such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in course delivery, advising students, supervising Bachelor/Master theses, and engaging in methodological innovation for online, hybrid, and in-person learning environments. The university provides strong support for early-career researchers, including mentorship, administrative assistance, access to computational resources, conference funding, and opportunities to collaborate with other research groups and industrial partners working at the intersection of AI and digital education. Mandatory requirements Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field. Strong research interest and practical experience in one or more of the following areas: semantic parsing and structured representation learning knowledge graphs or graph-based reasoning transformer models, sequence modeling, or GNNs natural language generation and explainability educational AI, personalization algorithms, or cognitive modeling Evidence of research potential through publications, a strong thesis, or significant projects. Experience or interest in innovative teaching and learning approaches. Ability to translate theoretical insights into engineered prototypes and systems supporting scientific or educational use cases. Responsible, self-motivated, and capable of working independently as well as collaboratively. Excellent verbal and written communication skills. Intercultural competence and experience in international environments. Fluency with co-pilot tools for coding and writing. Fluency in English, the language of instruction and communication on campus. Funding & Appointment Terms The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Supplementary €550 mini-job allowance to support parallel part-time employment (optional) Application Details Expected start date: September , 2026 Application package must include: Curriculum Vitae (CV); Academic transcripts ; A detailed letter of motivation outlining research interests and career goals; 2 recommendation letters; Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Bremen, Germany About the position You are expected to conduct and lead internationally competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus on developing advanced methods for semantic structure extraction, conceptual and argumentative flow reconstruction, rationale-aware content generation, metacognitive prompting, and adaptive personalization. Core research contributions will include designing algorithms for concept and structure extraction, building neural/graph hybrid models for pedagogical reasoning, implementing ontology-alignment methods for cross-domain transfer, and creating human-in-the-loop optimization pipelines that incorporate expert feedback—aligning with the multi-year research roadmap (WP1–WP3) . As a postdoctoral researcher, you will take a leading role in designing experiments, shaping research directions, supervising junior researchers (including PhD students), and contributing to the development of end-to-end demonstrator systems capable of generating structured, rationale-rich, and learner-adaptive content. You will be responsible for coordinating data annotation efforts, overseeing the construction of evaluation frameworks, and driving publication-quality research outputs, including survey papers, methodology papers, and cross-domain transfer studies. Interdisciplinary collaboration is strongly encouraged, especially at the intersection of computer science, computational linguistics, cognitive science, and learning technologies, and you will have opportunities to initiate or co-lead joint projects with internal and external partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course development and supervising Bachelor’s, Master’s, and PhD theses. The university provides a supportive academic environment—including mentoring, administrative support, computational resources, and opportunities for technology transfer and industry engagement—enabling the postdoctoral researcher to establish or strengthen an internationally visible research profile. Mandatory requirements PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field. Strong publication record in relevant top-tier venues (e.g., NeurIPS, ACL, ICML, ICLR, AIED, LAK, AAAI). Demonstrated expertise in at least two of the following areas: semantic parsing or structured NLP knowledge representation, reasoning graphs, or GNNs natural language generation, explainability, or rationale modeling ontology alignment, cross-domain transfer, or representation learning personalization algorithms, metacognition, or educational AI human-in-the-loop systems or RLHF Experience in leading research tasks, mentoring junior researchers, and coordinating multi-stage projects. Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow). Strong analytical, communication, and academic writing skills. Demonstrable ability to design rigorous experimental pipelines and validation methodologies. Responsible, independent, and proactive research personality with strong teamwork skills. Intercultural experience and readiness to work in an international research environment. Fluency with AI co-pilot assistants for coding and writing. Fluency in English, the primary language of research and instruction on campus. Preferred qualifications: Experience in developing research prototypes, evaluation benchmarks, or large-scale datasets. Prior involvement in interdisciplinary or applied research projects. Potential to contribute to competitive funding applications. Experience with open-source releases or reproducible research pipelines. Application Details Starting date: September , 2026 Contract: Full-time (100%), TV-L E13 Work mode: Hybrid Application package must include: Curriculum Vitae (CV); A detailed letter of motivation outlining research interests and career goals; 2 recommendation letters; Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.