The *Transducens research group *(https://transducens.dlsi.ua.es) at Universitat d'Alacant (https://www.ua.es/) is excited to announce an opening for a *PhD position* in Alicante, Spain.

This is a fantastic opportunity to contribute to a*research project* funded by the*Spanish Research Agency and the European Social Fund: A way to make Europe***focusing on crucial areas:

 * *Multilingual machine translation:* Exploitation of unstructured linguistic
   information to improve the translation of low-resource language pairs with 
large
   language models (LLMs).
 * *Large language models*:  Development of advance chain-of-thought prompting 
techniques
   to enhance the translation process with LLMs.
 * *Societal impact: *Development of machine translation systems for 
low-resource and
   extremely low-resource language pairs with a large potential impact in their
   respective linguistic communities.

You will be part of the *Transducens research group*, a dynamic research group with 25+ years of experience in low-resource machine translation and translation technologies. In addition, you will work in a joint project with Universitat Oberta de Catalunya and the Barcelona Supercomputing Center.

As part of you PhD work you will:

 * Fine-tune and adapt existing multilingual LLMs for specific tasks.
 * Acquire and prepare corpora and datasets for machine translation training 
and evaluation.
 * Develop novel methods for the exploitation of linguistic resources of any 
kind
   (dictionaries, books, etc.) to improve the performance of LLM-based machine
   translation systems for low-resource languages.
 * Integrate your software into existing libraries and applications.
 * Release software and corpora under free/open-source licenses.
 * Participate in meetings, write reports, and publish scientific papers.
 * Travel to attend international conferences reputed in the field.
 * Make a short research stay (3+ months) in another European research 
institution.

*What we are looking for:*

 * *Required Education:*
     o You must meet the requirement to enroll in the PhD program in Computer 
Science at
       Universitat d'Alacant. This usually means having:
         + A university degree (240 ECTS; European Credit Transfer System; 
equivalent to
           four full-time academic years) in Computer Science, Artificial 
Intelligence,
           Data science, or equivalent, and
         + A master degree (60 ECTS; equivalent to one full-time academic year) 
in
           Computer Science, Artificial Intelligence, Data science, 
Computational
           Linguistics or equivalent.
         + Alternatively, if your university degree amounts to 300 ECTS credits
           (equivalent to five full-time academic years), a master’s degree is 
not required.
     o If your studies are not organized in ECTS credits, and you meet the 
requirement to
       enroll in a PhD program at your university, most probably you meet the 
requirement
       to enroll in the PhD program in Computer Science at Universitat 
d'Alacant.

 * *Experience:* Not required, but will be considered if applicable.
 * *Key skills:* Highly motivated to keep learning and to develop skills in 
cutting-edge
   multilingual technologies for natural language processing and machine 
translation.
 * *Languages: *English (able to read and write scientific papers, and to attend
   international conferences). Desirable knowledge of Spanish or Catalan.
 * *Additional Assets:* Experience in research projects, scientific 
writing/publishing,
   natural language processing, machine learning, artificial intelligence, and 
software
   development.

*What we offer:*

 * *Duration:* 4 years
 * *Gross Salary:* € 24,468.22 annually. (+ € 3,223.54 at the end of the 
contract)
 * *Budget for a research stay in another research institution*: € 5,800.
 * *Comprehensive benefits:* Full tuition waiver for the doctoral program, 
travel costs
   to attend international conferences, social security, employment benefits,
   paternity/maternity leave, and free access to the Spanish public health 
system.
 * *Leave: *4 weeks of annual leave, with the possibility to work remotely 
during
   Christmas and Easter periods.

*Location: *Alicante is a mid-sized city on Spain’s southeastern coast. Known for its sunny climate, beaches, and rich cultural heritage, it is a popular tourist destination. The city is also well-connected, with direct flights to most European capitals. More info: https://en.wikipedia.org/wiki/Alicante

*Question? *Send a message to fsanc...@ua.es.

*How to Apply:*

If you plan to apply, please prepare your CV using the template available at https://ssp.ua.es/es/selecinvest/documentos/plazas-personal-investigador-para-proyectos-investigacion/cva-pid2024/en-cva-pid2024-predoc.docx and write to fsanc...@ua.es;  we will support you in making the formal application thought the university’s online portal.

When the call officially opens (around *October, 1st*), you will have approximately 10 working days to submit your CV, the application form, and *scanned certificates* for each merit listed in your CV.  The official opening date and deadline will be communicated ASAP.

*VERY IMPORTANT*: All merits listed in the CV *must be duly supported by the corresponding certificate* (undergraduate and master’s degrees, completed training, research stays, etc.). In the case of publications you must provide a persistent paper identifier (e.g. DOI).

Guide on how to apply (must read; ask for help if needed): https://ssp.ua.es/es/selecinvest/documentos/plazas-personal-investigador-para-proyectos-investigacion/guide-on-how-to-apply-for-research-staff-positions-on-research-projects.pdf

--
Universitat d'Alacant / Universidad de Alicante

        

Institut Universitari d'Investigació Informàtica

Dept. de Llenguatges i Sistemes Informàtics


Felipe Sánchez Martínez

Associate Professor - Profesor Titular de Universidad


Tel.: (+34) 965 90 34 00 ext. 2966

Email: fsanc...@ua.es

Web: https://www.dlsi.ua.es/~fsanchez/

ORCID: https://orcid.org/0000-0002-2295-2630 <https://www.dlsi.ua.es/~fsanchez/>

Reply via email to