Berry College

Salary Package: From $113,194 (LEVEL A.6) to $123,435 (Level B.1) p.a. plus 17% employer's superannuation and annual leave loading Appointment Type: Full-time, 2 years fixed term Location: Macquarie University, Wallumattagal Campus (North Ryde) Join a multi-disciplinary team pushing the boundaries of microbial membrane transport protein structure & function. Collaborate with world leading researchers in membrane transport Generous employee benefits and access to flexible work arrangements Work with a multi-disciplinary team within the Australian Genome Foundry Opportunity to collaborate with researchers at the Diamond Light Source, University of Oxford, and the University of Leeds The Role The School of Natural Sciences is currently seeking a suitably qualified Research Fellow to join a multi-disciplinary team within the Australian Genome Foundry. This multifaceted role involves showcasing high throughput biofoundry technology in the engineering and characterisation of membrane transporters. The primary role of the position is to help coordinate and lead research in the Australian Genome Foundry alongside the Scientific Director. The successful applicant will work with Distinguished Professor Ian Paulsen and Dr Bhumika Shah to: Develop and characterise a library of microbial transporters Undertake biochemical and biophysical analyses of specific transporters Establish and showcase cutting edge biofoundry workflows, including ultra-high-throughput screens for desired phenotypes Co-supervise HDR students and work with biofoundry staff on the above areas of research Initiate and maintain academic and industry collaborations, and apply for research funding Communicate research findings in scientific journals and at conferences About You You will have completed a PhD in biochemistry, molecular biology, microbiology, structural biology, synthetic biology, or a closely related discipline. You will enjoy contributing to impactful research outcomes and working effectively as part of an international research team. Your collaborative approach to working with others will ensure you perform effectively within a multi-disciplinary environment. If you are an excellent communicator with a proactive nature and are flexible and resilient in your approach, then this is a role you will thrive in and a team you will enjoy working with. About Us Located at Macquarie University and within the Faculty of Science and Engineering, the Australian Genome Foundry is a high-throughput strain engineering facility with a highly automated workflow. This means rather than having a researcher building one strain at a time manually, the same researcher could build hundreds or thousands of strains in parallel using our robotic platforms. The Australian Genome Foundry is capable of synthesizing complete eukaryotic chromosomes and consists of modular robotic platforms capable of automated construction and analysis of synthetic microbial strains. Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation 60 years ago, we have aspired to be a different type of university. Over the years, we have grown to become the centre of a vibrant local and global community. Connect with us today. How To Apply To be considered for this position, please apply online by submitting your CV and a separate cover letter that demonstrates how you meet the following selection criteria: Selection Criteria: PhD in biochemistry, molecular biology, microbiology, structural biology, synthetic biology, or a closely related discipline Exceptional verbal and written communication skills Ability to work collaboratively and work independently without close supervision Experience with protein expression and purification, especially in E. coli and/or yeast Experience with molecular and microbiology protocols Desirable Experience with membrane transport assays Experience supervising higher degree research students Understanding of the fundamentals of biofoundry automation We welcome applications from international applicants. *Please note that applications will be reviewed as they are received on a rolling basis, and we reserve the right to progress or decline an application prior to the application closing date.* Role Enquiries: Ian Paulsen, Scientific Director, Australian Genome Foundry via e-mail ian.paulsen@mq.edu.au Applications Close: Sunday 15th of February 2026 at 11:55pm AEST If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee Workday account. To apply for this job: Login to Workday and go to the Careers App > Find Jobs. A Place Where You Belong At Macquarie, we believe diversity makes us stronger, inclusion drives our success, and belonging inspires us to do our best work. We are proud to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework. Flexible Work At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage their personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our Jobs at Macquarie page.

Description The Robotics and Intelligent Systems Control Laboratory (RISC) at New York University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or other related department to apply. The successful applicants will design controllers for a variety of complicated systems. These include humanoids, quadrupeds, omnidirectional drones and others. These controllers will rely on principles like Reinforcement Learning (RL), Model Predictive Control (MPC), or other Optimized Controllers. Essentially this position is in the realm of Artificial Intelligence (AI), Control and target as applications the Robotics area. The applicant should to publish some of his/her results in top conferences/journals including the Control and Decision Conference (CDC), International Conference on Automation and Robotics (ICRA) and others. Applicants must have a Degree in Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering or closely related fields. Experience with control systems including the design of RL and MPC are required. Work with autonomous robots and competency in the Robot Operating System, and/or Physics Engine Simulators are preferred. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, degree transcript, statement of research interests, and at least two letters of reference, all in PDF format. If you have any questions, please email Professor Anthony Tzes at anthony.tzes@nyu.edu. About RISC: The Robotics & Intelligent Systems Control Laboratory (RISC Lab) at New York University Abu Dhabi focuses on perception, control, and planning in primarily autonomous robots. Our vision is to realize fully capable mobile agents and collaborative autonomous agents. RISC is an integral member of the Center for AI and Robotics (CAIR). CAIR has significant work in localization for autonomous agents, cooperative area coverage and mapping, cooperative aerial manipulation, and autonomous ground & aerial package transportation and delivery. RISC Lab operates in two research spaces, the office space located in A1-005, and the Kinesis workspace B2.C3.029.E in collaboration with the Core Technology Platform of NYUAD. The Kinesis workspace includes a large experimentation arena, equipped with a state-of-the-art, 24-camera motion capture system, for large-scale indoor experiments and has several humanoids, quadrupeds and drones. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Description The newly established NYUAD Wireless Research Center at New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate (PDA) who will conduct research on the physical layer design of optical wireless communication systems as enablers of wireless access/backhaul of 6G and beyond networks. The PDA will be jointly supervised by Murat Uysal and Qurrat-Ul-Ain Nadeem. Principal Responsibilities The PDA will conduct research to design and develop optical wireless communication systems. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or experimental means. The PDA is expected to actively disseminate results through publications in high-impact journals and presentations at leading international conferences. The PDA is expected to contribute to intellectual property development through patent filings and participate in international standardization efforts relevant to optical wireless technologies in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include: Strong background in communication theory, signal processing, wireless/optical communications, and communication system engineering Extensive experience in physical layer algorithm design and performance analysis  Proven track record of publications in relevant IEEE journals and conferences In addition to the above qualifications, it is highly desirable that the candidate has prior research experience in one or more of the following research topics: Free space optical communication Visible light communication DSP for coherent optical communication Machine learning and AI-native physical layer design Optical reconfigurable intelligent surfaces  Spatial mode multiplexing and orbital angular momentum The candidates will be considered until the position is filled. To be considered, all applicants must submit Cover letter Curriculum vitae with complete publication list BSc, MSc and PhD transcripts Research statement elaborating how you plan to contribute to the above research topics Contact details of at least three references. All attachments should be in PDF format. If you have any questions about the position, please email NYUAD Wireless Director Prof. Dr. Murat Uysal at murat.uysal@nyu.edu The terms of employment are highly attractive: a very competitive salary, generous monthly housing allowance, home-leave travel allowance, relocation benefits, and medical insurance and educational subsidies for dependents. The expected starting date for the appointment is January 1, 2026. About NYUAD Wireless The overarching goal of NYUAD Wireless is to establish a globally recognized research and innovation hub dedicated to advancing the frontiers of wireless communications and shaping the networks of the future. As a newly established center, it represents a timely initiative that aligns closely with the UAE’s vision to lead in the digital era. Through close collaboration with industry and other stakeholders, NYUAD Wireless seeks to pioneer advancements in wireless technologies by providing robust theoretical foundations for leveraging new spectrum bands and addressing practical challenges in the design of cutting-edge wireless access and backhaul solutions.  About NYUAD NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply