From kuettner at ids-mannheim.de  Tue Jul  8 01:46:12 2025
From: kuettner at ids-mannheim.de (=?UTF-8?Q?K=C3=BCttner?=)
Date: Tue, 8 Jul 2025 09:46:12 +0200
Subject: [emcai] Fwd: [Corpora-List] Job: Faculty position (Associate
 professor,
 tenure position) at Telecom Paris in Machine Learning for Natural Language
 Processing
In-Reply-To: <1889992717.10973167.1751960203306.JavaMail.zimbra@telecom-paris.fr>
References: <1889992717.10973167.1751960203306.JavaMail.zimbra@telecom-paris.fr>
Message-ID: <e2304863-4ea8-4305-b141-9db9d3d0efdc@ids-mannheim.de>

Hi all,

(@ list moderator: apologies for double posting, the first e-mail was 
sent from a wrong account, please ignore the first e-mail)

I'm not exactly sure how open they are to EM/CA informed work (Damien 
[Rudaz] may perhaps speak to this), but I figured I could share the 
following job posting anyway.

All best,
Uwe



-------- Weitergeleitete Nachricht --------
Betreff: 	[Corpora-List] Job: Faculty position (Associate professor, 
tenure position) at Telecom Paris in Machine Learning for Natural 
Language Processing
Datum: 	Tue, 8 Jul 2025 09:36:43 +0200 (CEST)
Von: 	Maria Boritchev via Corpora <corpora at list.elra.info>
Antwort an: 	Maria Boritchev <maria.boritchev at telecom-paris.fr>
An: 	corpora at list.elra.info



[Apologies for cross postings]

********************************************************
Faculty position (Associate professor, tenure position) at Telecom
Paris in *Machine Learning for Natural Language Processing*

Version fran?aise :
https://institutminestelecom.recruitee.com/o/assistantassociate-professor-in-machine-learning-cdi

English Version:
https://institutminestelecom.recruitee.com/l/en/o/assistantassociate-professor-in-machine-learning-cdi

Telecom Paris has a new permanent (tenure) faculty position (Associate
Professor/ ?Ma?tre/Ma?tresse de conf?rences?) in Machine Learning for 
Natural
Language Processing. Applicants from the following sub-research areas
are particularly welcome:
- Generative models, Conversational AI

- Bias and Explainability in AI

- Frugal Machine Learning


*Important Dates*
September 5, 2025 : closing date for applications


*Main missions*
- Participate in the design and implementation of teaching programs in 
the field of machine learning for language processing
- Conduct research in your scientific field
- Participate in the development of partnerships, collaborations and 
contractual relationships in your scientific field
- Participate in teaching activities at Telecom Paris and its partner 
academic institutions (as part of joint Master programs), especially in
natural language processing, speech processing, machine learning, and 
Data Science, including life-long training programs (e.g. the local
?Mast?res Sp?cialis?s?).


*Candidate profile*

As a minimum requirement, the successful candidate will have:
-? ?A Ph.D. degree
-? ?A track record of research and publication in one or more of the 
following areas: machine learning, natural language processing,
 ? ? ?generative speech and signal processing, human-agent interactions, 
social robotics
-? ?Experience in teaching
-? ?An international postdoctoral experience is welcome but not mandatory
-? ?Excellent command of English

NOTE:

The candidate does *not* need to speak French to apply, just to be 
willing to learn the language (teaching will be mostly given in
English).

Other expected skills include:
-? ?Capacity to work in a team and develop good relationships with 
colleagues and peers
-? ?Excellent writing and pedagogical skills


*More about the position*
Place of work: Saclay (Paris outskirts)
Context:
- S?A (machine learning, statistics and signal processing) group
https://www.telecom-paris.fr/en/research/laboratories/information-processing-and-communication-laboratory-ltci/research-teams/signal-statistics-learning 

- LTCI (laboratoire de traitement et communication de l?information)
https://www.telecom-paris.fr/en/research/laboratories/information-processing-and-communication-laboratory-ltci 

- T?l?com Paris https://www.telecom-paris.fr/en/home

Ecosystem:
T?l?com Paris is a founding member of the Institut Polytechnique
de Paris (IP Paris, https://www.ip-paris.fr/en/), a world-class
scientific and technological institution. Located at the Plateau de
Saclay close to Paris-Saclay University, this Institution is a
partnership between Ecole Polytechnique, ENSTA Paris, ENSAE Paris,
T?l?com Paris, T?lecom SudParis, with HEC as a key partner.

Regularly ranked as one of the best engineering schools in France,
T?l?com Paris is recognized for its excellent training, its very good
employability rate with high salaries, its high-level research, and its
very close proximity to companies. The THE (Times Higher Education,
https://www.telecom-paris.fr/times-higher-education-telecom-paris-6th-best-small-university) 


ranks T?l?com Paris 2nd best French engineering school, 5th better
French university, and 6th ? best small university ?.

The newly created institution IP Paris was ranked in the top 50 best
universities in the QS world university ranking. In the context of the
Institut Polytechnique de Paris, the activities in Data Science and AI
of the team benefit from the center Hi!Paris (https://www.hi-paris.fr/),
offering seminars, workshops, and fundings through calls for project.


*How to apply?*

Applications must be submitted via one of the following websites:

French Version
https://institutminestelecom.recruitee.com/o/assistantassociate-professor-in-machine-learning-cdi

English Version
https://institutminestelecom.recruitee.com/l/en/o/assistantassociate-professor-in-machine-learning-cdi

Applicants should submit:
- Cover letter,
- Curriculum vitae,
- Statements of research and teaching interests (4 pages maximum each)
- Three publications
- Contact information for two references



Contacts - please contact us directly before applying:
Maria Boritchev
Matthieu Labeau
St?phan Cl?men?on (Head of the S?A group)
Florence Tupin (Head of the IDS department)
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https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/
To unsubscribe send an email to corpora-leave at list.elra.info


From postdoc-vertretung at ids-mannheim.de  Tue Jul  8 01:44:03 2025
From: postdoc-vertretung at ids-mannheim.de (PostDoc-Vertretung)
Date: Tue, 08 Jul 2025 07:44:03 -0000
Subject: [emcai] Fwd: [Corpora-List] Job: Faculty position (Associate
 professor,
 tenure position) at Telecom Paris in Machine Learning for Natural Language
 Processing
In-Reply-To: <1889992717.10973167.1751960203306.JavaMail.zimbra@telecom-paris.fr>
References: <1889992717.10973167.1751960203306.JavaMail.zimbra@telecom-paris.fr>
Message-ID: <80f99d38-c0b5-4f5d-9f5a-ec89305f7c1d@ids-mannheim.de>

Hi all,

I'm not exactly sure how open they are to EM/CA informed work (Damien 
[Rudaz] may perhaps speak to this), but I figured I could share the 
following job posting anyway.

All best,
Uwe



-------- Weitergeleitete Nachricht --------
Betreff: 	[Corpora-List] Job: Faculty position (Associate professor, 
tenure position) at Telecom Paris in Machine Learning for Natural 
Language Processing
Datum: 	Tue, 8 Jul 2025 09:36:43 +0200 (CEST)
Von: 	Maria Boritchev via Corpora <corpora at list.elra.info>
Antwort an: 	Maria Boritchev <maria.boritchev at telecom-paris.fr>
An: 	corpora at list.elra.info



[Apologies for cross postings]

********************************************************
Faculty position (Associate professor, tenure position) at Telecom
Paris in *Machine Learning for Natural Language Processing*

Version fran?aise :
https://institutminestelecom.recruitee.com/o/assistantassociate-professor-in-machine-learning-cdi

English Version:
https://institutminestelecom.recruitee.com/l/en/o/assistantassociate-professor-in-machine-learning-cdi

Telecom Paris has a new permanent (tenure) faculty position (Associate
Professor/ ?Ma?tre/Ma?tresse de conf?rences?) in Machine Learning for 
Natural
Language Processing. Applicants from the following sub-research areas
are particularly welcome:
- Generative models, Conversational AI

- Bias and Explainability in AI

- Frugal Machine Learning


*Important Dates*
September 5, 2025 : closing date for applications


*Main missions*
- Participate in the design and implementation of teaching programs in 
the field of machine learning for language processing
- Conduct research in your scientific field
- Participate in the development of partnerships, collaborations and 
contractual relationships in your scientific field
- Participate in teaching activities at Telecom Paris and its partner 
academic institutions (as part of joint Master programs), especially in
natural language processing, speech processing, machine learning, and 
Data Science, including life-long training programs (e.g. the local
?Mast?res Sp?cialis?s?).


*Candidate profile*

As a minimum requirement, the successful candidate will have:
-? ?A Ph.D. degree
-? ?A track record of research and publication in one or more of the 
following areas: machine learning, natural language processing,
 ? ? ?generative speech and signal processing, human-agent interactions, 
social robotics
-? ?Experience in teaching
-? ?An international postdoctoral experience is welcome but not mandatory
-? ?Excellent command of English

NOTE:

The candidate does *not* need to speak French to apply, just to be 
willing to learn the language (teaching will be mostly given in
English).

Other expected skills include:
-? ?Capacity to work in a team and develop good relationships with 
colleagues and peers
-? ?Excellent writing and pedagogical skills


*More about the position*
Place of work: Saclay (Paris outskirts)
Context:
- S?A (machine learning, statistics and signal processing) group
https://www.telecom-paris.fr/en/research/laboratories/information-processing-and-communication-laboratory-ltci/research-teams/signal-statistics-learning 

- LTCI (laboratoire de traitement et communication de l?information)
https://www.telecom-paris.fr/en/research/laboratories/information-processing-and-communication-laboratory-ltci 

- T?l?com Paris https://www.telecom-paris.fr/en/home

Ecosystem:
T?l?com Paris is a founding member of the Institut Polytechnique
de Paris (IP Paris, https://www.ip-paris.fr/en/), a world-class
scientific and technological institution. Located at the Plateau de
Saclay close to Paris-Saclay University, this Institution is a
partnership between Ecole Polytechnique, ENSTA Paris, ENSAE Paris,
T?l?com Paris, T?lecom SudParis, with HEC as a key partner.

Regularly ranked as one of the best engineering schools in France,
T?l?com Paris is recognized for its excellent training, its very good
employability rate with high salaries, its high-level research, and its
very close proximity to companies. The THE (Times Higher Education,
https://www.telecom-paris.fr/times-higher-education-telecom-paris-6th-best-small-university) 


ranks T?l?com Paris 2nd best French engineering school, 5th better
French university, and 6th ? best small university ?.

The newly created institution IP Paris was ranked in the top 50 best
universities in the QS world university ranking. In the context of the
Institut Polytechnique de Paris, the activities in Data Science and AI
of the team benefit from the center Hi!Paris (https://www.hi-paris.fr/),
offering seminars, workshops, and fundings through calls for project.


*How to apply?*

Applications must be submitted via one of the following websites:

French Version
https://institutminestelecom.recruitee.com/o/assistantassociate-professor-in-machine-learning-cdi

English Version
https://institutminestelecom.recruitee.com/l/en/o/assistantassociate-professor-in-machine-learning-cdi

Applicants should submit:
- Cover letter,
- Curriculum vitae,
- Statements of research and teaching interests (4 pages maximum each)
- Three publications
- Contact information for two references



Contacts - please contact us directly before applying:
Maria Boritchev
Matthieu Labeau
St?phan Cl?men?on (Head of the S?A group)
Florence Tupin (Head of the IDS department)
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