Hochschule Darmstadt University of Applied Sciences

About the University of Bristol: The University of Bristol’s Mumbai campus is an innovative extension of its prestigious UK counterpart, established to promote academic excellence, global collaboration, and impactful industry engagement in one of the world’s most dynamic financial hubs. The campus offers a truly international and cross-cultural academic environment, combining the University’s rigorous academic traditions with the fast-evolving Indian and South Asian business landscape. As part of a growing global network, the Mumbai campus serves as a hub for interdisciplinary learning, applied research, and thought leadership. Faculty members enjoy access to global partnerships, collaborative research opportunities, and the ability to contribute to high-impact academic programmes that prepare students to meet the challenges of an interconnected world. About the Role: This role is a key foundational role to support the delivery of the University’s Mumbai Enterprise Campus (MEC), a flagship transnational education initiative of the University of Bristol set to open its doors in 2026, coinciding with the University’s 150th anniversary. The role will provide leadership to develop and structure the MEC’s research and innovation offer and its two-way link with the University’s main campus in Bristol, reporting to and working closely with the MEC Executive Dean and Director, throughout the first three foundational years of the Campus establishment – with possibility of a contract renewal for an additional term thereafter. The role will be instrumental in providing research, innovation and partnership leadership, along with operational and strategic capacity, to deliver effective change and embed new structures and ways of working both in Mumbai and between Bristol and Mumbai. They will also work as principal lead in bridging the coordination of the MEC across the three Faculties in Bristol. To do so, the role will have dotted lines reporting and collaboration to University's Pro Vice Chancellor (Research and Innovation) and relevant Associate PVCs (Faculty based and thematic), The will do so alongside an expected close collaboration with the Faculty Pro Vice Chancellor in either Arts, Law and Social Sciences (ALSS) or Science and Engineering (S&E), to steward the development of a specific faculty-based MEC coordination function from year 2, depending on disciplinary background of the appointee. Key Responsibilities: Reporting to the Executive Dean. The key responsibilities will be as follows: Provide leadership, operational and developmental capacity to the Executive Dean during a period of transformation within the MEC and the University, with an emphasis on Research and Innovation portfolio. Drive growth and consolidation of MEC partnership with industry,enterprise, or public sector partners that shape the MEC’s offer. Work in consultation with the Dean and senior leaders at MEC, as well as across the University's Faculties to supportthe development and delivery of the MEC. Lead and participate in significant MEC development, campus development, industry engagement growth projects, including chairing working groups, management committees that champion and further the University’s strategicambition. Line manage MEC leadership roles tasked with the delivery of MEC programmes, or other roles in the MEC as delegated by the ExecutiveDean. Developing and promoting a Bristol-aligned research culture at MEC Deputise for the Executive Dean asrequired. Teaching and Research Deliver a select teaching contribution to the MEC Postgraduate/Undergraduate offer in the area of relevant expertise. Provide support for academic disciplines and interdisciplinary opportunities within the MEC in terms of developing the MEC’s research and innovation portfolio. Take leadership for the development and delivery of a quality Postgraduate Research that aligns clearly to the aspiration for MEC and the global engagement strategy of the University. Create a nurturing environment for excellence across the whole MEC research base and support implementation of forward-thinking research and innovation strategies and innovative engagement approaches. Ensure research strengths are matched and leveraged to develop teaching excellence and integrated in MEC UG/PG programme offerings. Identify potential areas of strength in research and innovation that align with the skills agenda for business. Work with the University’s Thematic PVCs and APVCs to develop partnerships that enable strategic and cross cutting University developments to be realized within the MEC. Work closely with relevant Faculty PVCs and APVCs to drive close engagement between MEC Research, Innovation and Partnership activity and faculty strategies Resource Management Understand the nature of the disciplines within the MEC and support delivery of operational plans. Deliver the leadership and managerial duties associated with the role of the Associate Dean working with and delegating to MEC leadership (e.g. programme directors, professors) and Academic Officers in an efficient manner including maintaining and developing robust staff review, mentoring, wellbeing and development processes. Work collaboratively with Professional Services partners to deliver delegated administrative and governance duties. Support the Executive Dean through the University Planning cycle identifying high level needs and opportunities for MEC efficient delivery as well as integration into the overall University Planning. Provide budget and resource management support to the Executive Dean. Actively support colleagues to identify areas for income generation, including through research grants, that support financial sustainability for the MEC, as well as that drive clear joint research activities between Bristol and Mumbai. Work closely with a relevant Faculty PVC (and Faculty based APVCs) to set up by year 2 a dedicated faculty lead role for the MEC, and interim provide this themselves in year 1. Key Competencies/ Attributes Leadership and Culture: supports the setting of direction and has the courage to give purpose to help take the MEC forward. Is able to help inspire people with the vision of the future. Manages others and their performance with honesty and integrity. Managing Change: leads and embraces change. Is able tobalance University need for change with MEC needs. Understands the concerns of colleagues and communicates the reasons forchange. Results Focus: takes action to make sure things happen. Is decisive and able to balance competingneeds. Managing Finance and Resources: ensures the effective use of resources allocating time and people time appropriately in linewith objectives and financialconstraints. Collaborative Working: encourages a cohesive, trust-based team approach across the Faculties andUniversity. Collaborative internationalization: open to working across international boundaries to connect closely with Bristol colleagues and embracing Bristol’s ethos and culture of internationalisation Continual Professional Development: engages inself-development

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements 1. Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently

About the role We are seeking an organised, detail‑oriented Clinical Research Data Integration Coordinator to work within the Cancer B‑cell Group on the CRUK Accelerator Programme “Early Cancer Research Initiative Network on Monoclonal B‑cell Lymphocytosis (ECRIN‑M3)”, led by Professor Francesco Forconi. You will be based in the School of Cancer Sciences, working closely with clinicians, scientists and data specialists to turn real‑world clinical information into clean, analysis‑ready research datasets from patients with leukaemia (e.g. Chronic lymphocytic leukaemia) and lymphomas (e.g. Follicular lymphoma). Your primary responsibility will be to systematically extract and curate clinical data from medical records (electronic patient record systems and, where applicable, paper notes) and integrate these data into research databases and linked study systems. You will play a central role in maintaining data quality, provenance, and completeness, ensuring robust, reproducible data flows from recruiting sites. For candidates with relevant interest and experience, there will be opportunities to contribute to analysis support (e.g., descriptive analyses, QC/consistency checks, basic survival summaries) and to develop/manage data pipelines (ETL, validation rules, automation, dashboards) in collaboration with the Clinical Informatics Research Unit (CIRU). What you’ll do Extract and abstract clinical variables from medical records into structured formats aligned to the protocol and data dictionaries. Curate, validate and reconcile clinical data with laboratory/biomarker and study datasets; resolve data queries with clinical teams. Integrate data into research repositories (e.g., BC Platforms) following SOPs, with clear documentation of provenance and versioning. Maintain data dictionaries, mapping tables and coding standards. Monitor completeness and quality; run routine QC/consistency checks; manage data corrections and audit trails. Liaise with recruiting sites, research nurses and international collaborators to support timely, accurate data flows. Adhere to information governance, confidentiality and research ethics requirements (e.g., GDPR, ethical approvals, data access controls). Contribute to analyses, dashboards and automated validation/ETL pipelines using SQL/Excel and/or R/Python, support simple visualisations and reports for investigators. About you Experience extracting/abstracting data from electronic medical records and/or clinical notes into structured datasets.  Meticulous attention to detail; comfortable navigating diverse clinical documentation.  Working knowledge of clinical terminologies/coding (e.g., ICD‑10, SNOMED CT, CTCAE); familiarity with haematology/oncology concepts is desirable.  Confident with Excel and at least one research data environment (e.g., SQL‑based tools, ALEA, BC Platforms, or similar data capture/warehouse systems).  Understanding of GDPR, confidentiality, research governance and data security in a clinical research setting.  Clear communicator who builds strong relationships with clinicians, research nurses and data specialists, and escalates appropriately when decisions or approvals are needed Self‑starter who takes ownership and progresses work independently, drawing on guidance and support from CIRU and the wider team when needed Proactive and solution‑focused, able to plan and prioritise workload, anticipate blockers, and propose pragmatic improvements to data capture, validation and workflows Desirable: basic scripting in R or Python; experience writing SQL for data cleaning/QC; exposure to survival/epidemiological concepts; experience with haematological malignancies or early cancer research About us A collaborative team spanning Cancer B‑cell immunology, genomics, molecular/cellular biology, bioinformatics and clinical informatics. The environment combines strong clinical engagement with modern data infrastructure to generate high‑quality real‑world datasets that inform patient care and translational research. We value diversity We welcome applications from all sections of the community and support flexible working where possible. If we receive a high volume of applications, we may close the vacancy early—please apply as soon as you are ready.