Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our BCI-NE lab to innovate brain-computer interfaces through semantic decoding.
- Company: University of Essex is a leading institution known for its dynamic research and diverse community.
- Benefits: Enjoy a collaborative environment, access to cutting-edge technology, and opportunities for international collaboration.
- Why this job: Be part of groundbreaking research that merges neuroscience and technology with real-world applications.
- Qualifications: PhD or near completion in relevant fields; strong programming and research publication record required.
- Other info: This is a full-time, three-year fixed-term position based in Colchester, UK.
The predicted salary is between 36000 - 60000 £ per year.
Social network you want to login/join with:
Senior Research Officer, School of Computer Science and Electronic Engineering, Colchester
Client: University of Essex
Location: Colchester, United Kingdom
Job Category: Education
EU work permit required: Yes
Job Reference: 3859d52d626c
Job Views: 80
Posted: 18.02.2025
Expiry Date: 04.04.2025
Job Description:
The School of Computer Science and Electronic Engineering (CSEE) is a large and dynamic department in the Faculty of Science and Health. The School is internationally known for its research in a range of areas and offers an excellent education to its students.
The Brain-Computer Interfaces and Neural Engineering (BCI-NE) laboratory hosts the BCI-NE lab that was founded in 2004 and is today one of the largest and best equipped in Europe and the top laboratory for non-invasive BCIs and human cognitive augmentation in the UK. For two decades, the lab has produced highly visible internationally leading research, peer-reviewed publications, and frequent media presence, with international (MIT, NASA JPL, ESA, Harvard, UCB) and national (Oxford, Imperial, UCL) collaborations. It has been singled out as a world-class element of CSEE in recent Research Evaluation Frameworks.
The BCI-NE lab is now seeking two Senior Research Officers on a three-year fixed-term, full-time basis, to work on the project ‘Semantic brain to computer communication’.
The Project and Duties of the Role : This project proposes a radically new BCI based on semantic decoding: directly identifying whole concepts an individual is thinking of from a combination of analysis of brain activity and natural language modelling. The work will include running a series of experiments to record neural data while individuals focus on a series of individual concepts. This will include experiment design and work on extraction of information from electroencephalogram (EEG), functional near-infrared spectroscopy (fNIRS), and other physiological signals. The work will also include analysis to develop decoding models, including the development and evaluation of signal processing and machine learning pipelines, as well as natural language models and their integration with neural decoders to develop novel forms of Brain-Computer Interface. The project will involve working with the project team to explore how neural engineering technology can be used to provide accurate, real-time decoding of user intention.
The successful applicant will work on these duties on a day-to-day basis within the BCI-NE lab. A full list of duties can be found within the respective job packs.
Skills and Qualifications Required : Applicants are expected to hold a PhD (or be very close to submitting their PhD thesis) in Biomedical Engineering, Brain-Computer Interfaces, Neural Engineering, Electronic Engineering, Statistics, Physics, Computer Science, Neuroscience, or a closely related discipline. You will be expected to have evidence of a developing research agenda and a developing record of publications in internationally recognised, reputable journals.
The successful candidate will have significant experience in programming and will ideally also have experience in areas such as signal processing, machine learning, statistical modelling of neural signals and processes, along with strong communication skills. Applicants are also expected to have a strong publication record (relative to their career stage) as first author, ideally including publications in 1st quartile journals in relevant areas.
At the University of Essex, internationalism and diversity is central to who we are and what we do. We are committed to being a cosmopolitan, internationally oriented university that is welcoming to staff and students from all countries, faiths, and backgrounds, where you can find the world in one place.
#J-18808-Ljbffr
Senior Research Officer, School of Computer Science and Electronic Engineering employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Officer, School of Computer Science and Electronic Engineering
✨Tip Number 1
Familiarize yourself with the latest advancements in Brain-Computer Interfaces and Neural Engineering. This will not only help you understand the project better but also allow you to engage in meaningful discussions during the interview.
✨Tip Number 2
Network with current or former researchers from the BCI-NE lab or related fields. They can provide insights into the lab's culture and expectations, which can be invaluable when preparing for your application.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail, especially those related to signal processing and machine learning. Be ready to explain how your skills align with the specific duties of the role.
✨Tip Number 4
Showcase your communication skills by practicing how to present complex ideas clearly and concisely. This is crucial for collaborating with the project team and sharing findings with a broader audience.
We think you need these skills to ace Senior Research Officer, School of Computer Science and Electronic Engineering
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Research Officer position. Understand the specific skills and qualifications required, especially in areas like Brain-Computer Interfaces and machine learning.
Highlight Relevant Experience: In your application, emphasize your PhD research and any relevant publications. Showcase your experience with programming, signal processing, and neural engineering, as these are crucial for the role.
Tailor Your CV: Customize your CV to reflect the skills and experiences that align with the job requirements. Include specific projects or research that demonstrate your expertise in the relevant fields.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your enthusiasm for the project ‘Semantic brain to computer communication’. Make sure to connect your past experiences with the goals of the BCI-NE lab.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to Brain-Computer Interfaces and Neural Engineering. Highlight any publications you've contributed to, particularly in high-impact journals, as this will demonstrate your capability and fit for the role.
✨Demonstrate Technical Proficiency
Since the role requires significant programming experience, be ready to talk about the programming languages and tools you are proficient in. Discuss any relevant experience with signal processing, machine learning, or statistical modeling, as these skills are crucial for the position.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly in experimental design and data analysis. Think of examples where you've successfully tackled complex challenges in your research and be ready to explain your thought process.
✨Emphasize Collaboration Skills
The project involves working closely with a team, so it's important to convey your ability to collaborate effectively. Share experiences where you've worked in interdisciplinary teams, highlighting how you contributed to achieving common goals.
