Subject: [AUDITORY] Psychoacoustics / audiology research position at UCL From: Nick Lesica <lesica@xxxxxxxx> Date: Sat, 14 Sep 2024 08:47:10 +0100--000000000000b7149a06220f8c59 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable We are seeking a Research Fellow to join our work on the design of novel assistive listening technologies through large-scale electrophysiology and deep learning. The work will be carried out in partnership with Perceptual Technologies Ltd. and the UCLH Biomedical Research Centre. We are offering an opportunity to help develop a transformative solution to a major public health problem =E2=80=93 hearing loss =E2=80=93 that has the potential to b= enefit hundreds of millions of people, along with the potential to join a deep tech startup to commercialize the technology upon project completion. About the role We have spent the past several years developing a unique capability for recording large-scale neural activity datasets with high spatiotemporal resolution (Armstrong et al., *Nat Biomed Eng*, 2021) and applying deep learning to these datasets to develop highly-accurate models of neural coding with and without hearing loss (Sabesan et al., *eLife*, 2023; Drakopoulos et al, *bioRxiv*, 2024). We are now looking to perform listening tests to measure the benefit of new hearing aid algorithms developed using these methods. Key duties and responsibilities will include: =E2=80=A2 Designing listening tests to measure the benefit of new hearing a= id algorithms relative to the state-of-the-art =E2=80=A2 Implementing listening tests in software =E2=80=A2 Recruiting listeners with hearing loss to perform listening tests =E2=80=A2 Carrying out listening tests =E2=80=A2 Analyzing the results of listening tests =E2=80=A2 Preparing results for publication and for pitching to potential i= nvestors The salary for this role is grade 7 (=C2=A342,099- =C2=A350,585) per annum = including London allowances) with salary on appointment dependent on experience. The post will be funded for one year in the first instance with potential for extension subject to funding. About you We are looking for a researcher who is experienced in implementing and carrying out listening tests. Specific experience in audiology is desirable, but not essential. The ideal candidates will have: =E2=80=A2 PhD in psychology, neuroscience, engineering or related disciplin= e (or equivalent experience) =E2=80=A2 Experience designing protocols and stimuli for listening tests =E2=80=A2 Experience implementing listening tests in software =E2=80=A2 Strong software engineering skills (ideally Matlab or Python) =E2=80=A2 Experience recruiting subjects for listening tests =E2=80=A2 Experience analyzing the results of listening tests This role DOES NOT meet the eligibility requirements for a Skilled Worker Visa certificate of sponsorship under UK Visas and Immigration legislation. Therefore, we will not be able to sponsor individuals who require right to work in the UK to carry out this role. The application deadline is September 30, 2024. Interviews for shortlisted candidates will take place shortly thereafter. The start date is flexible but sooner is better. Click here <https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=3D27097> f= or the official application portal Best wishes, Nick -- Nicholas A. Lesica, Ph.D. Professor of Neuroengineering Ear Institute University College London 332 Gray's Inn Rd. London, WC1X 8EE, UK Phone: +44 (0)20 7679 8979 Email: n.lesica@xxxxxxxx Web: www.lesicalab.com Zoom: https://ucl.zoom.us/j/95684855489 --000000000000b7149a06220f8c59 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div class=3D"gmail_quote"><div dir=3D"ltr"><p>We are seek= ing a Research Fellow to join our work on the design of novel assistive lis= tening technologies through large-scale electrophysiology and deep learning= .</p><p>The work will be carried out in partnership with Perceptual Technol= ogies Ltd. and the UCLH Biomedical Research Centre. We are offering an oppo= rtunity to help develop a transformative solution to a major public health = problem =E2=80=93 hearing loss =E2=80=93 that has the potential to benefit = hundreds of millions of people, along with the potential to join a deep tec= h startup to commercialize the technology upon project completion.</p><h4>A= bout the role</h4><p>We have spent the past several years developing a uniq= ue capability for recording large-scale neural activity datasets with high = spatiotemporal resolution (Armstrong et al., <i>Nat Biomed Eng</i>, 2021) a= nd applying deep learning to these datasets to develop highly-accurate mode= ls of neural coding with and without hearing loss (Sabesan et al., <i>eLife= </i>, 2023; Drakopoulos et al, <i>bioRxiv</i>, 2024). We are now looking to= perform listening tests to measure the benefit of new hearing aid algorith= ms developed using these methods.</p><p>Key duties and responsibilities wil= l include:</p><p>=E2=80=A2 Designing listening tests to measure the benefit= of new hearing aid algorithms relative to the state-of-the-art</p><p>=E2= =80=A2 Implementing listening tests in software</p><p>=E2=80=A2 Recruiting = listeners with hearing loss to perform listening tests</p><p>=E2=80=A2 Carr= ying out listening tests</p><p>=E2=80=A2 Analyzing the results of listening= tests</p><p>=E2=80=A2 Preparing results for publication and for pitching t= o potential investors</p><p>The salary for this role is grade 7 (=C2=A342,0= 99- =C2=A350,585) per annum including London allowances) with salary on app= ointment dependent on experience. The post will be funded for one year in t= he first instance with potential for extension subject to funding.</p><h4>A= bout you</h4><p>We are looking for a researcher who is experienced in imple= menting and carrying out listening tests. Specific experience in audiology = is desirable, but not essential. The ideal candidates will have:</p><p>=E2= =80=A2 PhD in psychology, neuroscience, engineering or related discipline (= or equivalent experience)</p><p>=E2=80=A2 Experience designing protocols an= d stimuli for listening tests</p><p>=E2=80=A2 Experience implementing liste= ning tests in software</p><p>=E2=80=A2 Strong software engineering skills (= ideally Matlab or Python)</p><p>=E2=80=A2 Experience recruiting subjects fo= r listening tests</p><p>=E2=80=A2 Experience analyzing the results of liste= ning tests</p><p>This role DOES NOT meet the eligibility requirements for a= Skilled Worker Visa certificate of sponsorship under UK Visas and Immigrat= ion legislation. Therefore, we will not be able to sponsor individuals who = require right to work in the UK to carry out this role.</p><p>The applicati= on deadline is September 30, 2024. Interviews for shortlisted candidates wi= ll take place shortly thereafter.</p><p>The start date=C2=A0is flexible but= sooner is better.</p><h2>Click <a href=3D"https://www.ucl.ac.uk/work-at-uc= l/search-ucl-jobs/details?jobId=3D27097" target=3D"_blank">here</a> for the= official application portal</h2><div><div dir=3D"ltr" class=3D"gmail_signa= ture" data-smartmail=3D"gmail_signature"><div dir=3D"ltr"><div><div dir=3D"= ltr"><div><div dir=3D"ltr"><div><div dir=3D"ltr"><div><div dir=3D"ltr"><div= ><div dir=3D"ltr"><div>Best wishes,<br></div><div><br>Nick<br><br>--<br><br= >Nicholas A. Lesica, Ph.D.</div><div>Professor of Neuroengineering</div><di= v><br></div><div>Ear Institute<br>University College London<br>332 Gray'= ;s Inn Rd.<br>London, WC1X 8EE, UK<br><br>Phone: +44 (0)20 7679 8979<br>Ema= il:=C2=A0=C2=A0 <a href=3D"mailto:n.lesica@xxxxxxxx" target=3D"_blank">n.l= esica@xxxxxxxx</a><br>Web: =C2=A0=C2=A0=C2=A0 <a href=3D"http://www.lesica= lab.com" target=3D"_blank">www.lesicalab.com</a></div><div>Zoom:=C2=A0 =C2= =A0<a href=3D"https://ucl.zoom.us/j/95684855489" target=3D"_blank">https://= ucl.zoom.us/j/95684855489</a></div></div></div></div></div></div></div></di= v></div></div></div></div></div></div></div> </div></div> --000000000000b7149a06220f8c59--