Anderson University (Indiana)

The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Physics and Mechanics in Mechatronics. Candidates must hold a Ph.D. in this field or a closely related field and have a strong background in research. Relevant international experience is of advantage. The successful candidate will become part of an international network of universities and research institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach undergraduate courses in the Mechatronics (MEC) program. The expected workload for the in-class lecture conduction is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes). Teaching should reflect current research methods and results, and comprises lectures on the following modules: Module 1: Physics (60 AHs) Module 2: Technical Mechanics A (60 AHs) Module 3: Technical Mechanics B (60 AHs) Module 4: Design 1 (60 AHs) Module 5: Design 2 (60 AHs) Module 6: Design 3 (60 AHs) Module 7: Bachelor Project (60 AHs) Module 8: Student Project (60 AHs) The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may require conducting relevant laboratory activities and/or advising student projects. The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring PhD students. Research Responsibilities As a faculty member of a research-oriented university, the successful candidate is expected to significantly contribute to the scientific profile of VGU through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in the fields of Physics Engineering, Mechanics Engineering. The ability to apply and generate externally funded research projects is highly desirable. Administrative responsibilities The successful candidate is expected to contribute to the development of the MEC program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university, namely Hamburg University of Applied Sciences (HAW Hamburg). She or he is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a Ph.D. in Physics Engineering or Mechanics Engineering, or a closely related field, preferably from a well-known international university. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology. Other requirements include: An outstanding academic record with a focus on Mechanic applications, especially in design of intensive mechanisms or other areas closely related to it; Knowledge in static and dynamic systems; Knowledge in electric and theromodynamic systems; Knowledge in fluid dynamic systems; Knowledge in mechanical design (2D, 3D), mechatronic development projects; Knowledge in robotics, automobile and aeronautical systems; Knowledge in using artificial intelligence in development of intensive physic systems; Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area; Proven teaching experience with strong self-motivation combined with a passion for teaching and research; Experience in industry is of advantage; Proven excellent English proficiency: Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above.[1] Employment benefits The successful candidate will become part of a professional and interdisciplinary group of faculty and have access to state-of-the-art laboratories. VGU supports its lecturers with attractive start-up endowments for quality research projects. VGU also supports participation in national and international conferences and the publishing of research papers. VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students. Further information, e.g. regarding the appointment procedure, the competitive salary and research activities can be downloaded here. Application                                                                                                To apply please send your application (with the following documents in one PDF max. size: 10 MB) to academicpositions@vgu.edu.vn with subject line "Physics and Mechanics in Mechatronics_[Your Name]" Your application should include: Form for basic information (Please download here, complete this form electronically and submit it together with your application) A cover letter stating your interest in joining VGU Curriculum Vitae (including list of publications) Scans of university degrees, university transcripts and other relevant certificates Scans of language certificates (if available, highly appreciated) References illustrating your professional and academic career, including contact details of references (if available, highly appreciated) Evaluation results for teaching (if available) All applications will be reviewed and evaluated by VGU's international Application Review Team. For further information, please contact: Program Academic Director: Prof. Dirk Engel at Dirk.Engel@hawhamburg.de and/or Program Academic Coordinator: Assoc. Prof. Do Xuan Phu at phu.dx@vgu.edu.vn About us The Vietnamese-German University (VGU) is a Vietnamese state university. Founded in 2008, VGU is a joint venture based on a close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region. VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures. As part of VGU's ongoing commitment to gender equity, the university is actively seeking to enhance the representation of women in research and teaching roles. VGU therefore strongly encourages applications from qualified female lecturers who wish to contribute to the academic community.

Location Docklands Campus Salary £52,307 to £59,913 per annum inclusive of London Weighting Post Type Full Time Post Type Permanent Closing Date Friday 12 December 2025 Interview Date To be confirmed Reference 0627-25-S-R University of East London Founded in 1898, we at the University of East London (UEL) are proud to change lives through education. Our goal is to advance industry 5.0 careers-first education and provide a clear path to the jobs and opportunities of the future. We’re committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a balanced, inclusive, and green future. But we can't achieve this goal alone. We need forward-thinking, innovative, and curious individuals like you to join our community and help us craft our future. As part of our team, you'll have the opportunity to work with a diverse range of people who share your passion for creating positive change. We’re an inclusive and welcoming community that is constantly moving forward, never satisfied with the status quo. About Us The Estates and Facilities Directorate at the University of East London (UEL) plays a critical role in supporting the university’s strategic objectives by delivering a range of essential services. These include strategic estate planning, campus facilities management and maintenance, security, sustainability initiatives, print services, capital investment, and space management. The directorate ensures that UEL’s physical infrastructure supports both the academic and operational needs of the university, maintaining a safe, functional, and sustainable environment across all campuses. The Estates and Facilities team works closely with key Delivery Partners and professional services within UEL, including HR, Procurement, Finance, Strategic Development & Delivery, IT, and Health & Safety. This collaborative approach ensures that all estate-related services are aligned with the university’s wider goals, enabling effective decision-making and the running of the estate. Together, these partnerships support the ongoing enhancement of UEL’s estate, helping to provide a fit for the future environment for students, staff, and visitors. About the Job As a Project Manager, you will play a key role in delivering project management services, ensuring projects are completed on time, within budget, and to a high standard in line with the University’s estates and facilities strategy. Your work will directly support UEL’s ambitious growth plans, contributing to the development of a modern, sustainable, and future-ready campus as part of Vision 2028 and beyond. This role offers a structured development and training programme, providing mentorship and opportunities to enhance your knowledge and experience for career progression. You will be supported by the Head of Projects & Estates Development as part of the University’s staff development and appraisal process. By joining our team, you will play a vital role in shaping the University's built environment, creating spaces that support innovation, learning, and community engagement. About You The ideal candidate for this role is an experienced and motivated project manager with a strong background in construction, estates, or infrastructure projects. You thrive in fast paced environments, managing multiple projects with confidence and strategic focus. Your expertise in contract administration, procurement and financial oversight enables you to deliver projects on time, within budget, and to the highest standards. You are a proactive problem solver, skilled communicator, and team player, capable of building strong relationships across a diverse range of stakeholders. Whether you’re already working towards chartered status (RICS, APM, or CIOB) or eager to develop your professional credentials, you’ll find structured support for career progression at UEL. If you’re looking for a role that blends technical expertise with leadership and innovation, this is the perfect place to grow. Benefits Package At UEL, we believe that a great role is about more than just a salary. It’s about the complete package, including our outstanding work environment and inclusive culture. We offer a genuinely competitive salary, dependent on experience (DOE), and a range of excellent benefits. You can explore our full benefits package here: https://uel.ac.uk/benefits-professional-services-positions Equal Opportunities UEL is an inclusive equal opportunities employer and are proud of our Equality, Diversity, and Inclusivity achievements, including: zero gender pay gap, members of Stonewall and have won Athena Swan awards. We expect all employees of UEL to accept our EDI policy and will not tolerate discrimination in any form. So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and committed to success, we want you to apply today! Further Details Job Description & Person Specification To contact the recruitment team please phone +44 20 8223 3000 x 4600 or e-mail jobs@uel.ac.uk CVs without a completed application form will not be accepted. At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.

About Us The School of Biomedical Engineering & Imaging Sciences at King's College London is a world-leading center for research and innovation in medical imaging, image analysis, and biomedical engineering. Our interdisciplinary research brings together engineers, computer scientists, physicists, and clinicians to develop cutting-edge technologies that transform healthcare. This position is part of a prestigious Marie Skłodowska-Curie Actions (MSCA) Doctoral Network, offering exceptional training and networking opportunities across leading European research institutions. The MSCA programme supports the career development of early-stage researchers through international collaboration, specialized training, and exposure to both academic and industrial partners.  About The Role We are seeking an exceptional early-stage researcher to join our MSCA Doctoral Network as DC5 (Doctoral Candidate 5), focusing on quantitative phenotyping via generative modelling of quantitative MRI data. This exciting PhD position combines advanced machine learning with medical imaging physics to develop next-generation tools for biomarker extraction and clinical decision support. You will develop innovative generative models using vector quantised variational autoencoders (VQ-VAE) and transformer architectures to synthesise realistic quantitative MRI (qMRI) data with controlled anatomic variability. Your work will address a critical challenge in medical imaging: the limited availability of qMRI datasets. By augmenting models with phenotypes from non-quantitative MRI and disentangling image content from acquisition physics, you will create powerful tools that work across different imaging protocols. A key aspect of your research will be developing physics-aware models that bidirectionally map between non-quantitative and quantitative MRI data. Using Bloch equation simulations and cycle-consistent learning, you will create physics-invariant networks for biomarker extraction, segmentation, and classification. This work has significant potential to improve the robustness and generalizability of AI tools in clinical settings. The position offers unique international experience through a series of planned secondments at leading institutions, such as Amsterdam UMC (Netherlands) to apply your generative models to parameter mapping networks, University of Antwerp (Belgium) to validate your MRI simulator with preclinical data, and Institut Curie (France) to develop physics-invariant segmentation tools, to be discussed with the applicant You will receive comprehensive training in Advanced Machine Learning for medical applications, Scientific Computing, Image Processing, and Image Acquisition, while working alongside world-class researchers in medical imaging and AI. Expected milestones include: (1) a covariate-conditioned generative model of qMRI data (M18), (2) a fast physics-based MRI simulator (M24), (3) a bidirectional non-quantitative to qMRI mapping model (M30), and (4) an integrated joint generative framework (M42). This position is funded through a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network grant and includes full enrollment in a doctoral programme with structured supervision and research training. The attractive salary package follows MSCA regulations, including living allowance, mobility allowance, and family allowance where applicable. This is a full-time post (35 hours/week), and you will be offered a fixed-term contract for 3 years / until the end of the PhD. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Hold a Master's degree or equivalent in computer science, biomedical engineering, medical imaging, mathematics, or related discipline Strong background in machine learning and deep learning, particularly in generative models (VAEs, GANs, transformers) Programming experience in Python and deep learning frameworks (PyTorch) Knowledge of medical image processing and analysis techniques Ability to understand and implement mathematical models, including physics-based models Excellent written and oral communication skills in English Ability to work independently and collaboratively within an international research network Meet MSCA mobility rule: at time of recruitment, must not have resided or carried out main activity in the UK for more than 12 months in the 3 years immediately prior to appointment Desirable criteria Experience with quantitative MRI (qMRI) techniques and physics Experience with vector quantised variational autoencoders (VQ-VAE) or similar models Knowledge of MRI physics and Bloch equation simulations Experience with medical image segmentation or classification tasks Publications in machine learning, medical imaging, or related fields Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information  We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: Marie Skłodowska-Curie Actions (MSCA) Doctoral Network programme salary package following MSCA regulations, including living allowance, mobility allowance, and family allowance where applicable Job ID: 133125 Close Date: 04-Jan-2026 Contact Person: Laura Zappulla Contact Details: laura.zappulla@kcl.ac.uk