University of Washington-Bothell

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

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 deliver on a research project where you will be part of the research team to develop yeast and fungi for food ingredient and biochemical production. The specific goals are: Metabolic engineering of Yarrowia and Candida yeasts for organic acid production Design and optimization of fermentation method in 10L and 100L stirred tank vessels Key Responsibilities: Fulfill the primary responsibilities within the project: i. Deliver structured presentations of research plans and findings every two weeks. ii. Provide guidance and mentorship to junior research engineers and undergraduate students working in the same research field. iii. Prepare scientific manuscripts for reporting and potential publication (as first or co-author). Prepare writeup for new research grant application Support undergraduate lab class conduct where applied research outcomes are utilized in undergraduate teaching. Conduct thorough risk assessments and ensure adherence to work, safety, and health regulations for all research activities. Coordinate procurement activities with licensed vendors for research items. Job Requirements: Have a relevant PhD degree in Biochemistry or Biochemical Engineering Have at least 1 year experience with the metabolic engineering of Yarrowia and Candida yeasts, including foreign gene expression and gene deletion. Have at least 1 year experience with the use of bioreactor, HPLC-MS and GC-MS. Prior experience in the genetic manipulation of filamentous fungi cell line engineering is advantageous. Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative, take ownership of work, and able to cope with failures

Join the University of Southampton Auditory Implant Service (USAIS) as a British Sign Language (BSL) Interpreter and Deaf Services Advisor and make a meaningful impact in the lives of cochlear implant users and their families. You will have a unique opportunity to further your career by using your clinical skills within a University setting allowing you to access up-to-date research in this field.  We have 2 part-time (21 hours) permanent vacant posts.  As a BSL Interpreter, you will play a vital role in supporting Deaf patients and their families throughout their cochlear implant journey—from assessment and surgery to rehabilitation and follow-up care. You’ll work closely with audiologists, rehabilitationist, ENT consultants, and other professionals to ensure clear, culturally sensitive communication at every stage. Your key responsibilities will include: Provide high-quality BSL/English interpreting for clinical appointments, assessments, and group sessions Support patients and families in understanding complex medical and audiological information Collaborate with multidisciplinary teams to ensure inclusive, patient-centred care Maintain accurate records and uphold confidentiality and professional standards Contribute to Deaf awareness and accessibility initiatives within the Centre What We’re Looking For Registered Sign Language Interpreter with National Registers of Communication Professionals working with Deaf and Deafblind People (NRCPD) Level 6 qualification in BSL Interpreting or postgraduate degree in interpreting Experience working in healthcare or with Deaf clients in clinical settings preferred Strong interpersonal skills and cultural sensitivity Ability to work independently and as part of a team Commitment to equality, diversity, and inclusion Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton! We offer a range of great benefits that includes a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (closure days) pro rata; subsidised health and fitness facilities on-site; cycle to work scheme; a range of discounts which include restaurants, retail outlets and entertainment. For information on the Service please look at the website http://ais.southampton.ac.uk/ Informal enquiries and visits to the centre can be arranged by contacting Prof Roberta Buhagiar, Clinical Coordinator rb22@soton.ac.uk at the University of Southampton Auditory Implant Service, Telephone 02380 593522. *An enhanced DBS check is required for this role.