DEPARTMENT OF PHYSICS

Scientific Officer  (23240775)

Responsibilities:

  • Assisting in undergraduate laboratory demonstrations, development, and management;
  • Conducting undergraduate tutorials, grading of coursework and supervising students;
  • Supporting faculty research and operating equipment; and
  • Performing any other duties as assigned.

Applicants should have a bachelor’s degree in Physics, Engineering or related field with relevant work experience.  Applicants with knowledge and skills related to developing STEM activities and projects, e.g., Arduino IDE programming, circuit design and IoT devices, are preferred.

The initial appointment will be offered on a fixed-term contract of one year.  Re-appointment thereafter will be subject to mutual agreement.

Salary will be commensurate with qualifications and experience.

Application Procedure:

Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for interview 8 weeks after the submission of application may consider their applications unsuccessful. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy.

The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer.

Review of applications is ongoing until the positions are filled.

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Part-time Lecturer (23240542)

The Department invites applications for a Part-time Lecturer position to teach one undergraduate applied physics course. The lecturer is expected to deliver lectures, organise or deliver tutorials, and take care of other matters during the teaching of the course (e.g., designing and grading homeworks, quizzes, and examination papers, organising other forms of course works). Lecture materials are readily available from previous rounds of teaching but the lecturer is expected to further refine, revise, and develop the materials to suit his/her teaching style. The course involves electricity and magnetism, signal processing, electronics, and some programming. The course has 4 credits, which incurs four hours of lectures per week for 13 – 14 weeks. Applicants should have a doctoral degree in the physics, engineering, or relevant disciplines. Previous teaching experiences are highly desirable but not necessary. Knowledge in new technologies such as wireless communications, 5G, etc., will be a plus. 

Appointment will be made on a contract basis, initially for one semester commencing in January 2025, renewable subject to performance, funding, and mutual agreement. The applicant should anticipate a net remuneration of roughly HKD 60,000 – 65,000. 

Application Procedure:

Applicants are invited to submit their applications at the HKBU e-Recruitment System and send in full CV, copies of qualification documents and their teaching portfolios and recent teaching evaluation results for review. Those who are not invited for an interview 4 months after submission of application may consider their applications unsuccessful. All application materials will be disposed of after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy.

The University reserves the right not to make an appointment for the posts advertised, and the appointments will be made according to the terms and conditions applicable at the time of offer.

Review of applications is ongoing until the positions are filled.

JC STEM Lab of Neuronal Circuit Dynamics

Several postdoctoral positions in theoretical/computational and experimental neuroscience
Understanding how adaptive and maladaptive behavior emerges from the operation of neuronal circuits is a central topic across different sub-disciplines within neuroscience. Our laboratory’s research program capitalizes on the establishment of cutting-edge optical technologies based on engineered molecular reporters that convert electrical signals of neurons into optical signals (ref#1). Electrical signals captured from the brain of mice while they engage in different behaviors such as perception, learning and execution of tasks, as well as social interactions are analyzed using advanced computational methods to address and derive theoretical models and predictions (ref#2). For this line of research we are seeking several postdoctoral researchers to work synergistically both within the team and with our collaborating teams. The work will entail using novel neurotechnology and approaches to conduct multi-level investigations to address big questions in neuroscience. Successful candidates will be a part of a highly interdisciplinary collaborative teamworking environment that values effective communication, integrity and equality.
One theoretical/computational neuroscientist: we seek a theoretical/computational neuroscientist with a strong mathematical and computational background. Candidates with an interest in understanding the overlap and differences between natural and artificial intelligence are particularly encouraged to apply.
One mouse in vivo experimentalist: for in vivo experimental work, we wish to recruit a skilled experimenter with strong biological background and an analytical approach to technical challenges. Previous experience with mouse in vivo experiments is necessary. Previous experience with neuronal activity optical imaging, particularly head-fixed imaging, is desirable.
One molecular experimentalist: at the molecular level, we work on the premise that the physical substrate of mind sets (diversity of personalities) involves epigenetic modification in neuronal circuits (ref#3). To test this emerging research field and to interface work in line with the above theoretical and experimental neuroscience topics, we are seeking an individual with experience (or strong interest) in nanopore based DNA methylation analysis and previous bioinformatics training. 
Requirements for all positions:
  • PhD in a STEM subject. Candidates with degrees in neuroscience, data science, bioinformatics, and computational biology are particularly encouraged to apply.
  • Knowledge of scientific background relevant to the research area.
  • Original research published or under revision in a reputable journal.
  • Good English communication skills and strong critical thinking ability.
  • Able to prioritize and work collaboratively in a diverse workforce.
(Ref#1) Optical voltage imaging in neurons: moving from technology development to practical tool. doi: 10.1038/s41583-019-0231-4.
(Ref#2) Cortex-wide spontaneous activity non-linearly steers propagating sensory-evoked activity in awake mice. doi: 10.1016/j.celrep.2022.111740.
(Ref#3) https://en.wikipedia.org/wiki/Behavioral_epigenetics
 
Please address informal inquiries to Prof Thomas Knopfel <tknopfel@knopfel-lab.net>