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Neural Interface Research Jobs in Texas (NOW HIRING)

Process Engineer

Addison, TX · On-site

$70 - $85/hr

We combine deep technical rigor with a people-first mindset to turn breakthrough research into real ... interfaces. Since our founding in 2021, we have raised more than $180 million, advanced our ...

New

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... our groundbreaking research and development takes place and hosts our assembly lines, neural ...

... interfaces for non-technical users. These systems interact in ways that are difficult to reason ... where his research proved stability of neural network-based real-time controllers using the ...

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... research and development takes place and hosts our assembly lines, neural recording training and ...

IT Systems Administrator

Austin, TX · On-site

$69 - $115/hr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... research and development takes place and hosts our assembly lines, neural recording training and ...

Showing results 21-39

Neural Interface Research information

What is neural interface research?

Neural interface research is the scientific study and development of technologies that connect the nervous system, particularly the brain, with external devices or computers. These interfaces, often called brain-computer interfaces (BCIs) or neural prosthetics, enable direct communication between neural tissue and electronic systems. The goal of this research is to restore lost sensory or motor functions, treat neurological disorders, or enhance human capabilities. Neural interface research is highly interdisciplinary, involving neuroscience, engineering, computer science, and medicine. Advances in this field have the potential to revolutionize healthcare and human-machine interaction.

What are the key skills and qualifications needed to thrive in neural interface research?

To thrive in Neural Interface Research, you need advanced knowledge in neuroscience, biomedical engineering, and signal processing, often supported by a graduate degree in a related field. Proficiency with programming languages (such as Python or MATLAB), neural data acquisition systems, and simulation tools is typically required. Exceptional problem-solving abilities, collaboration, and strong communication skills help researchers innovate and translate findings across multidisciplinary teams. These skills are crucial for developing cutting-edge neural technologies and ensuring rigorous, impactful scientific progress.

What are some common interdisciplinary challenges faced by professionals in neural interface research teams?

Neural Interface Research teams often bring together experts from neuroscience, engineering, computer science, and clinical backgrounds, which can lead to challenges in communication and aligning goals across disciplines. Collaborators may use different terminology or have varying expectations regarding project timelines and outcomes. Successful professionals in this field need to be proactive in fostering clear communication, demonstrating adaptability, and developing a basic understanding of adjacent fields to effectively contribute to collaborative projects. These interdisciplinary challenges ultimately offer valuable opportunities for personal growth and innovation.

What is the difference between Neural Interface Research vs Neural Engineering?

AspectNeural Interface ResearchNeural Engineering
Required CredentialsAdvanced degrees in neuroscience, biomedical engineering, or related fieldsSimilar credentials, often with additional focus on device design and implementation
Work EnvironmentResearch labs, universities, biotech companiesResearch labs, medical device companies, clinical settings
Industry UsageFocuses on developing and understanding neural interfacesDesigning, testing, and applying neural interface devices
Common Search IntentResearch methods, latest advancements, academic rolesProduct development, device engineering, clinical applications

Neural Interface Research primarily involves exploring and understanding neural interfaces through scientific investigation, while Neural Engineering focuses on designing and developing neural interface devices for practical use. Both roles require similar educational backgrounds but differ in their application and work environment.

What cities in Texas are hiring for Neural Interface Research jobs?

Cities in Texas with the most Neural Interface Research job openings:

Infographic showing various Neural Interface Research job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.

Director, Texas Institute for Therapeutic Neurotechnology (TITAN)

The University of Texas at Austin

Austin, TX • On-site

Full-time

Re-posted 17 days ago


Key responsibilities

  • Lead the development and management of the Texas Institute for Therapeutic Neurotechnology (TITAN).

  • Oversee interdisciplinary research initiatives focused on advancing therapeutic neuroengineering methods and neurotherapeutics.

  • Attract research funding and foster collaborations with biotech partners to support the institute's research and translational goals.


University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

128th of 628 rated colleges and universities


Job description

Description
Position Description:
The Dell Medical School at The University of Texas at Austin is seeking a distinguished investigator at the level of Full Professor to be the founding director of the Texas Institute for Therapeutic Neurotechnology (TITAN). The Dell Medical School, Cockrell School of Engineering, College of Natural Sciences, and College of Pharmacy at the University of Texas are committed to creating this new interdisciplinary institute for advancing translational and clinical neurosciences and neuroengineering. We are seeking a leader whose research program combines computational, engineering, and other quantitative and technological methods for solving problems that will have therapeutic impact in medicine. Examples include, but are not limited to, implantable bioelectronic systems and electroceuticals, nanomaterials for biosensing and stimulation, brain-computer interfaces, neuromodulation technologies with optical, ultrasound, electro-magnetic and precision drug delivery systems, and advanced medical imaging and theranostics. Expertise in fundamental and applied machine learning and artificial intelligence for advancing clinical medicine is of particular interest.
About TITAN:
The Texas Institute for Therapeutic Neurotechnology (TITAN) is a unique interdisciplinary research and educational initiative focused on transforming the clinical neurosciences through the development and application of therapeutic neuroengineering methods (both implanted and non-invasive), grounded on electroceuticals, that (i) decode pathophysiological states of neural networks via brain-computer interfaces, and (ii) deliver stimulation to drive those networks into healthy states. This basic form of neurotherapeutics may be amplified with precision drug delivery that is uniquely tailored to the individual patient. Current expertise in imaging and computational modeling (including artificial intelligence, AI, and machine learning, ML) will boost neurotherapeutics to rapidly identify, treat, and prevent nervous system disorders.
About Dell Medical School:
As part of The University of Texas at Austin, one of the nation's leading research universities, the Dell Medical School pursues innovation in the redesign of healthcare delivery, excellence in healthcare research, and programs in interdisciplinary and inter-professional education. It is the fifth medical school in the UT System and the first medical school established in nearly five decades by a member of the Association of American Universities, an organization of leading public and private research universities. The University of Texas Medical Center, anchored by Dell Medical School, is defining the future of health. Announced in August 2023 with planning and implementation underway, The University of Texas Medical Center will cement Austin as a premier destination for health care alongside other major Texas cities. With two new, state-of-the-art hospitals -a UT specialty hospital and a cancer center being built by MD Anderson - plus the academic and research expertise of UT, The University of Texas Medical Center will provide the integrated, world-class care that is a hallmark of academic medicine.
As part of its strategic roadmap, Dell Medical School is partnering closely with other colleges at the University of Texas, regional communities, and collaborating healthcare systems to provide new models for innovation in clinical research and education, and clinical care for the community's entire population. The Dell Medical School is especially interested in qualified candidates who are aligned with our mission and values and can contribute to excellence within the learning health system.
Qualifications
Required Qualifications:
  • MD and/or PhD from a quantitative science or engineering discipline
  • Outstanding record of research, teaching, and service accomplishments at the full professor rank, with tenure, and mentoring trainees in science, engineering and medicine
  • Experience leading research teams across multiple disciplines. Track record of sustained extramural and federal research funding, i.e., NIH (P01, P30, P50, U01, R01, R54, SBIR/STTR), ARPA-H, NSF (STC)
  • Experience attracting investment with local, regional and national biotech partners

The primary appointment will be at Dell Medical School in neurology, neurosurgery and/or psychiatry with joint appointment(s) in one or more departments across the university, highlighting the interdisciplinary nature of the leadership position and the importance of attracting graduate and postdoctoral trainees from diverse disciples in the medical, natural, engineering, behavioral, and pharmaceutical sciences.
Application Instructions
Please submit a letter of interest, curriculum vitae, research statement, and the names and contact information of four referees (no letters are required at this time and referees will only be contacted after consultation with the candidate).
All documents requested must be uploaded via Interfolio before a full review can begin.

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