Call for teaching assistants for CS courses in spring 2023

Interested in computer science courses and have a passion for working with peers? Apply for a teaching assistant position in our spring 2023 courses!

Courses participating in this joint call are listed below with descriptions of the tasks. The contact persons are happy to give you more information by email.

You can apply now here. Deadline is 7 November 2022, but applicants may be interviewed and hired already during the application period. Remember that you will also get a compensation depending on the work load you will do.

Special offer – Combined TA-position on Programming 2 and Programming Studio 2&A

For anyone interested in working period III, IV, and V: as the teaching hours in exercise groups on Programming 2 and Programming Studios 2&A do not overlap it is possible to work as a TA on both Programming 2 and the Studios. Additionally, we will ensure that the work with student projects and Programming 2 exercises will not create excessive work load in period V for anyone working on both Programming Studio 2/A and Programming 2.

Please note clearly in your application if you are interested in taking the combined deal.

CS-A1120 Programming 2

Do you like helping others figure out problems in programs and getting over bumps in their code? Do you have a knack for clear explanations and want to try some teaching? CS-A1120 Programming 2, 2023 are looking for Teaching Assistants!

Main duty is guidance of student during computer lab exercise sessions on campus, but work might also include online teaching (e.g Zulip/Zoom). Candidates should be comfortable with the CS-A1120 course contents and have good command of programming using Scala, as demonstrated by (for example) previously passing this course with grade 4 or 5. The teaching language in Programming 2 is English. Workload will be agreed individually, but estimated at 6-12 hours per week during periods 4 & 5 (February 27 - June 2, 2023).
Note that for candidates interested in working for both Programming 2 and Programming Studio A/2 during the spring semester, it is often possible to agree a schedule that fits work on both courses.

Apply with CV, recent Study Transcript, and a brief Cover Letter explaining your motivation to work as a TA. For information contact: Lukas Ahrenberg (lukas.ahrenberg@aalto.fi)

CS-C2120 Ohjelmointistudio 2

Kurssille tarvitaan uusia tuntiassistentteja. Assistentin tehtäviin kuuluu

    Opiskelijoiden ohjaus viikkoharjoituksissa luokassa tai verkon kautta (Zulip, Zoom)
    Projektitöihin liittyvä ohjelmoinnin ohjaus
    Projektitöiden arviointi ja palautteen antaminen
    Kukin assistentti neuvoo ja arvioi muutaman projektiaiheen töitä.

Työaikaa tarvitaan keskimäärin 8-10 tuntia viikossa tammikuun puolivälistä noin toukokuun puoliväliin.
3-periodilla työ painottuu harjoitusten ohjaamiseen, 4-periodilla projektien ohjaamiseen ja 5-periodilla projektien arviointiin.

On myös mahdollista toimia assistenttina sekä Studio 2-kurssilla että CS-A1120 Ohjelmointi 2-kurssilla. Käytännössä tämä tarkoittaa lähes täyttä vapautusta Studio 2-kurssin harjoitusryhmä- ja Zulip-ohjauksesta periodeilla 4 ja 5. Projekteihin liittyvä työ sovitetaan ajallisesti niin että työ molemmilla kursseilla on mahdollista.

Vaikka kurssimateriaali pohjautuu Scalan versioon 3, joka on ollut käytössä syksyn 2022 Ohjelmointi 1-kurssilla, 3-version osaaminen ei ole välttämätöntä.

Vaatimukset:  Hyvä Scala-ohjelmointitaito, jonka voi osoittaa esimerkiksi sillä, että on suorittanut tämän ja/tai Ohjelmointi 2 -kurssin vähintään arvosanalla 4.

Lisätietoja antaa Otto Seppälä,  <otto.seppala@aalto.fi> tai Lauri Malmi <Lauri.Malmi@aalto.fi>

CS-C2105 Programming Studio A

Teaching assistants are recruited for the course. Assistant’s tasks include:

    Student guidance in weekly exercise sessions in classrooms or online (Zulip, Zoom)
    Guidance and support for projects assignments.
    Evaluating project works following course teacher’s instructions
    Each assistant evaluates and instructs work on student projects in project topics agreed with the assistant.

Working hours are on average 8-10 hours per week from mid-January till mid-May. In period 3, the work focuses on guidance of weekly exercises, in period 4, guidance of projects and in period 5, evaluation of the projects.

It is possible to combine being assistant on both courses Programming studio A and CS-A1120 Programming 2, in which case the the teaching assistant will not have normal exercise group and Zulip duties while they are active TAs in Programming 2. Work on student projects is scheduled in a way that allows working smoothly on both courses.

Course learning resources use Scala version 3, which is used Programming 1 course in the autumn 2022.  However, prior knowledge of Scala version 3 is not required.

Requirements: Good Scala programming skills, which can be demonstrated, for example, by having passed this and / or Programming 2 course with a grade of at least 4.

For more information, please contact Otto Seppälä, <otto.seppala@aalto.fi> or  Lauri Malmi <Lauri.Malmi@aalto.fi>

CS-A1121 Ohjelmoinnin peruskurssi Y2

Haemme kurssille CS-A1121 Y2 tuntiassistentteja sekä kurssin projektitöiden ohjaukseen että laskuharjoitusten pitämiseen (110 h) tai vain projektitöiden ohjaamiseen (60 h). Jokainen assistentti huolehtii tiettyihin, itse toivomiinsa aiheisiin liittyvistä projekteista. Assistentin tehtävä on tukea opiskelijoiden oppimista vastaamalla kysymyksiin ja antamalla ohjaavaa palautetta. Lisäksi osa palkatuista assistenteista huolehtii opiskelijoiden ohjauksesta laskuharjoitustilaisuuksissa tai keskustelufoorumilla. Assistenttitehtävän laajuus on 60 tai 110 tuntia työtä kevään aikana riippuen siihen kuuluvista tehtävistä. Laskuharjoitustilaisuudet ovat pääosin kevään ensimmäisellä periodilla ja periodin IV alkupuolella, ja projektien ohjaustyön painottuu periodeihin IV ja V. Assistenttityö pyritään rytmittämään niin, että opintoja itse suorittavilla assistenteilla on hyvä mahdollisuus keskittyä myös omiin opintoihinsa. Samojen assareiden avulla on tarkoitus hoitaa myös englannin kielisen sisarkurssin (CS-A1123) harjoitukset ja projektit, mutta vain jos assistentti on itse halukas ohjaamaan myös englanniksi.

Tehtävä edellyttää kykyä ohjata opiskelijoita heitä kuunnellen sekä Pythonin ja PyQt-kirjaston tuntemista ja mieluusti suoritusta tästä kurssista hyvällä arvosanalla.

Lisätietoja tehtävästä ja palkkauksesta antaa Sanna Suoranta, sanna.suoranta@aalto.fi

CS-A1123 Basics of programming Y2

We are looking assistants for CS-A1123 Y2 both to guide course projects and help in exercises (110 h) or just guiding the course projects (60 h). The course offers students several options for projects, but the assistants can choose in which of the topics they would like guide, too. The tasks of the assistants is to support students by answering to their questions and giving them feedback. In addition, some of the assistants take care of students guidance in exercise sessions or in online forum. The job takes either 60 or 110 hours depending its tasks. The exercise sessions are mainly in period III and in the beginning of period IV, and the project guidance is in period IV and V. We agree the timing so that the assistants will have time also for their own courses. Assistants of this course will work together with the Finnish version of the course (CS-A1121) in exercises and projects, but only if the assistant wants to guide the students also in Finnish.

The task require ability to guide learning of students by listening them, and both knowledge of Python and PyQt library, and preferably completion of this course with good grade.

More about the task and its pay from Talayeh Aledavood talayeh.aledavood@aalto.fi and Sanna Suoranta sanna.suoranta@aalto.fi

CS-A1130 Tietotekniikka sovelluksissa

Tietotekniikka sovelluksissa (CS-A1130) on Insinööritieteiden korkeakoulun opiskelijoille suunnattu kurssi, joka järjestetään kevätlukukaudella periodeissa III-IV. Kurssilla opetellaan erilaisten ohjelmistojen käyttöä perustasolla. Harjoitusten aiheita ovat ohjelmointi (Python), tietokannat (SQL), numeerinen laskenta (Matlab), graafinen ohjelmointi (Simulink), merkintäkielet (HTML5) ja taulukkolaskenta (Excel).
Haemme kurssille tuntiassistentteja, joiden toimenkuvaan kuuluu harjoitustilaisuuksien pitäminen, opiskelijoiden neuvominen, tehtävien tarkastaminen ja niistä palautteen antaminen opiskelijoille. Työmäärä on kevään aikana noin 100 tuntia (n. 9 tuntia viikossa periodilla III ja 6-7 tuntia viikossa periodilla IV).

Edellytämme hyvää Pythonin osaamista, mutta emme edellytä tuntiassitenttien osaavan kaikkien harjoitusten aihealueita etukäteen. Muu yleinen tietotekninen osaaminen, hyvät arvosanat ja opetuskokemus ovat plussaa.

Lisätietoja Ari Korhoselta, ari.korhonen@aalto.fi.

CS-A1150 Tietokannat

Etsin kurssiapulaisia (tuntiassistentteja) keväälle 2023 kurssille CS-A1150 Tietokannat.

Useimpien kurssiapulaisten tehtäviin kuuluu kahden noin joka toinen tai kolmas viikko kokoontuvan harjoitusryhmän ohjaus (kukin ryhmä kokoontuu kevätlukukauden aikana yhteensä 5 kertaa 27.2.-19.5.2023 välisenä aikana), kurssin harjoitustöiden arvostelu (15-50 harjoitustyötä) sekä harjoitustyöhön liittyvien neuvontavastaanottojen pitäminen. Kurssiapulaisen arvioitu kokonaistyöaika koko kevään aikana on 130-220 tuntia sen mukaan, kuinka monen harjoitustyön arvostelusta kunkin kurssiapulaisen kanssa sovitaan ja kuinka monta harjoitustyötä kurssilla palautetaan (tuntimäärä sisältää myös harjoitustyöaiheeseen tutustumiseen ja harjoituksiin valmistautumiseen kuluvan ajan).

Kahden kurssiapulaisen tehtäviin kuuluu harjoitustehtäväpalautusten arvostelu 2-3 harjoitustehtäväkierrokselta (osa kierroksen tehtävistä) sekä opiskelijoiden kirjallisiin kysymyksiin vastaaminen sovittuina viikkoina Zulipissa tai vastaavalla muulla kurssin neuvontakanavalla. Kurssiapulainen arvostelee opiskelijoiden sähköisesti palauttamia ratkaisuja Rubyric-järjestelmän avulla. (Aikaisempi kokemus järjestelmän käytöstä ei ole tarpeen.) Kokonaistyöaika kevään ajalta on noin 80-100 tuntia. Tämä tehtävä poikkeaa tyypillisestä kurssiapulaisen tehtävästä siten, että se ei vaadi suullista vuorovaikutusta opiskelijoiden kanssa.

Lisäksi haen yhtä kurssiapulaista, jonka tehtävänä on kurssilla käytettävän A+-järjestelmän ylläpito tämän kurssin sivujen ja tehtävien osalta. Tässä tehtävässä suurin osa töistä ajoittuu tammi- ja helmikuulle. Tehtävän työmäärä kevään ajalta on yhteensä noin 40 tuntia. Tehtävään ei kuulu varsinaista opetusta, mutta tämän tehtävän voi myös yhdistää kurssiapulaisen niin halutessa jompaankumpaan edellä mainituista tehtävistä.

Kurssiapulaisen vaatimuksena on kurssin (tai toisen yliopiston vastaavan kurssin) suoritus hyvällä arvosanalla. Muiden tietokantakurssien suoritus ja/tai käytännön kokemus tietokannoista on eduksi, samoin kuin aikaisempi opetuskokemus. Koska harjoitusryhmien kieli on suomi ja useimmat harjoitustehtäväpalautukset ovat suomenkielisiä, on hyvä suomen kielen taito välttämätön. Muu kielitaito on eduksi.

Lisätietoja tehtävästä antaa Kerttu Pollari-Malmi, kerttu.pollari-malmi@aalto.fi. Lähetä hakemuksesi CS-laitoksen yhteiseen assarihakuun. Liitä hakemuksen mukaan opintosuoritusote ja CV. Kerro hakemuksessasi, oletko kiinnostunut kaikista ym. tehtävistä vai vain jostain niistä.

CS-C2120 Ohjelmointistudio 2

Kurssille tarvitaan uusia tuntiassistentteja. Assistentin tehtäviin kuuluu

    Opiskelijoiden ohjaus viikkoharjoituksissa luokassa tai verkon kautta (Zulip, Zoom)
    Projektitöihin liittyvä ohjelmoinnin ohjaus
    Projektitöiden arviointi ja palautteen antaminen
    Kukin assistentti neuvoo ja arvioi muutaman projektiaiheen töitä.

Työaikaa tarvitaan keskimäärin 8-10 tuntia viikossa tammikuun puolivälistä noin toukokuun puoliväliin. 3-periodilla työ painottuu harjoitusten ohjaamiseen, 4-periodilla projektien ohjaamiseen ja 5-periodilla projektien arviointiin.On myös mahdollista toimia assistenttina sekä Studio 2-kurssilla että CS-A1120 Ohjelmointi 2-kurssilla. Käytännössä tämä tarkoittaa lähes täyttä vapautusta Studio 2-kurssin harjoitusryhmä- ja Zulip-ohjauksesta periodeilla 4 ja 5. Projekteihin liittyvä työ sovitetaan ajallisesti niin että työ molemmilla kursseilla on mahdollista. Vaikka kurssimateriaali pohjautuu Scalan versioon 3, joka on ollut käytössä syksyn 2022 Ohjelmointi 1-kurssilla, 3-version osaaminen ei ole välttämätöntä. Vaatimukset:  Hyvä Scala-ohjelmointitaito, jonka voi osoittaa esimerkiksi sillä, että on suorittanut tämän ja/tai Ohjelmointi 2 -kurssin vähintään arvosanalla 4. Lisätietoja antaa Otto Seppälä,  <otto.seppala@aalto.fi> tai Lauri Malmi <Lauri.Malmi@aalto.fi>

CS-C2105 Programming Studio A

Teaching assistants are recruited for the course. Assistant’s tasks include:

• Student guidance in weekly exercise sessions in classrooms or online (Zulip, Zoom)
• Guidance and support for projects assignments.
• Evaluating project works following course teacher’s instructions
• Each assistant evaluates and instructs work on student projects in project topics agreed with the assistant.

Working hours are on average 8-10 hours per week from mid-January till mid-May. In period 3, the work focuses on guidance of weekly exercises, in period 4, guidance of projects and in period 5, evaluation of the projects.It is possible to combine being assistant on both courses Programming studio A and CS-A1120 Programming 2, in which case the the teaching assistant will not have normal exercise group and Zulip duties while they are active TAs in Programming 2. Work on student projects is scheduled in a way that allows working smoothly on both courses. Course learning resources use Scala version 3, which is used Programming 1 course in the autumn 2022.  However, prior knowledge of Scala version 3 is not required.
Requirements: Good Scala programming skills, which can be demonstrated, for example, by having passed this and / or Programming 2 course with a grade of at least 4. For more information, please contact Otto Seppälä, <otto.seppala@aalto.fi> or  Lauri Malmi <Lauri.Malmi@aalto.fi>

CS-C2160 Theory of Computation

The contents and format of the Theory of Computation course remain mostly the same as in 2022.

The responsibilities of the teaching assistants will be to manage 2-3  weekly tutorial groups each, assist in grading the final exam, and  contribute a small number of typeset solutions to a compilation of  solved example problems. The existing materials can be viewed on the  course's 2022 MyCourses pages at https://mycourses.aalto.fi/course/view.php?id=33598

The TA's should have taken the course (or an equivalent one at some other university) with excellent grades and be comfortable with the course material, including the underlying concepts and techniques from discrete mathematics.
More information, please contact Pekka Orponen (pekka.orponen@aalto.fi)

CS-C3170 Web Software Development

Looking for TAs for Web Software Development (CS-C3170), Device-Agnostic Design (CS-E4270), and Designing and Building Scalable Web Applications (CS-E4770). Ideally, recruited TAs would have completed all three courses by the end of this year, which would allow helping students in all of the courses. Other combinations are also considered.

The duties of TAs include helping students, answering help requests, and grading course projects. The hours per week are flexible and typically range between 4 to 8 hours. The duration of the contract would be until the end of the Spring semester (e.g. end of April / mid-May). Work is done remotely, however assistants have to reside in Finland for the duration of the contract because of T&Cs of Aalto HR policy. For more information, please contact Arto Hellas firstname.lastname@aalto.fi

CS-E4160 Laboratory Works in Networking and Security

Laboratory Works in Networking and Security is a practical course providing students hands on experience with basic networking and network security topics.
The teaching assistants tasks are:
Provide assistance to students with their assignments, both in person and online
Evaluate student assignments. Note that evaluating a student’s assignment consists of a one-on-one session with the student.
The potential candidates should have passed this course with 10 credits and excellent grades in the previous academic years.
For more information please contact gazi.illahi@aalto.fi.

CS-E4270 Device-Agnostic Design

Looking for TAs for Web Software Development (CS-C3170), Device-Agnostic Design (CS-E4270), and Designing and Building Scalable Web Applications (CS-E4770). Ideally, recruited TAs would have completed all three courses by the end of this year, which would allow helping students in all of the courses. Other combinations are also considered.

The duties of TAs include helping students, answering help requests, and grading course projects. The hours per week are flexible and typically range between 4 to 8 hours. The duration of the contract would be until the end of the Spring semester (e.g. end of April / mid-May). Work is done remotely, however assistants have to reside in Finland for the duration of the contract because of T&Cs of Aalto HR policy. For more information, please contact Arto Hellas firstname.lastname@aalto.fi
CS-E4640 Big Data Platforms

The Big Data Platforms (CS-E4640) course is looking for 3-4 TAs for the Spring, 2023. The course will run from Jan-April and the TA is expected to support hands-on tutorials, help the course participants to work on their assignments, and assess the submitted assignments (the major effort, project-style assessment, no automatic grading).  The workload for a TA is around 135h.

The selected TAs should complete the previous CS-E4640 course with very good/excellent grades or should be experienced with the concept, techniques and platforms in the course. It is expected that the TA would be senior master students or PhD students. If needed, further training will be carried out with the responsible professor. Further information about the course can be found at: https://version.aalto.fi/gitlab/bigdataplatforms/cs-e4640.

Pls. contact Linh Truong (linh.truong@aalto.fi) if you are interested in the TA position.

CS-E4770 Designing and Building Scalable Web Applications

Looking for TAs for Web Software Development (CS-C3170), Device-Agnostic Design (CS-E4270), and Designing and Building Scalable Web Applications (CS-E4770). Ideally, recruited TAs would have completed all three courses by the end of this year, which would allow helping students in all of the courses. Other combinations are also considered.

The duties of TAs include helping students, answering help requests, and grading course projects. The hours per week are flexible and typically range between 4 to 8 hours. The duration of the contract would be until the end of the Spring semester (e.g. end of April / mid-May). Work is done remotely, however assistants have to reside in Finland for the duration of the contract because of T&Cs of Aalto HR policy. For more information, please contact Arto Hellas firstname.lastname@aalto.fi
CS-E4800 Artificial Intelligence

Responsibilities: Support in weekly exercises, possibly on-line and with Slack. The course format will be roughly the same as in 2022. Primary language is English, but more than half of the students are Finnish-speaking, so Finnish-only TAs are OK too. Duration of the employment would be from the beginning of January until the end of March, approximately 6 hours per week.

Prerequisites: We prefer TAs who have passed CS-E4800 with a good grade (preferably 4 or 5, possibly 3), and also ones with good presentation and communication skills.

More information from jussi.rintanen@aalto.fi.

CS-E4830 Kernel Methods in Machine Learning

Teaching assistants will help with designing exercise problems, running exercise sessions, and grading exercise solutions. Prerequisites: The assistant should have taken the course and having passed it with good grades.

More information from Rohit Babbar, rohit.babbar@aalto.fi.

CS-E4840 Information Visualization

The assistants will help with grading assignments. We will provide model solutions and answer keys. Prerequisites: the course assistant should have taken the course or be familiar with the material (Tufte's principles of visualization, visual perception, and static, dynamic, and interactive data visualization techniques). Last year's course homepage is here https://mycourses.aalto.fi/course/view.php?id=32428 (although we will restructure the course for next year with more hands-on elements and less dimensional reduction, and other statistical preprocessing). Estimated workload will be 7-8 hours/week. More information from Petter Holme, petter.holme@aalto.fi

CS-E4890 Deep Learning

Teaching assistants will help with designing exercise problems, running exercise sessions, grading exercise solutions and (possibly) grading the exam. Prerequisites: The assistant should have taken the course or be fluent with PyTorch.

More information from Alexander Ilin, alexander.ilin@aalto.fi

CS-E4950 Software Architectures

Wanted: Teaching assistants for Software Architectures course in Spring 2023. Would you like to work in a teaching team with great team spirit, a fun atmosphere, and the opportunity to go deeply into the topic of software architecture?

The Software Architectures course is a Masters-level course focusing on essential knowledge and skills that are relevant for designing software systems that meet stakeholder needs. We are looking for teaching assistants who are interested in software engineering and have a passion for working with teaching in a team of peers. The work includes assignment grading as well as discussion and feedback to students. The work is done in a team. Prior knowledge in software architecture is considered a bonus. The course language is English. The position is for the Spring semester, periods III-V (January - April 2022) and paid according to Aalto guidelines.

This teaching assistant role can be flexibly combined with a Master's Thesis or other studies. If you're interested, please contact Fabian Fagerholm <fabian.fagerholm@aalto.fi>

CS-E50004 Seminar in Software and Service Engineering: Data Ecosystems starting on Monday 24.10.

If you are still looking to complete more credits during this autumn, there is still room in this seminar course on data ecosystems. See more information in MyCourses. Lectures will be held on Mondays 14-16 and Thursdays 16-18. The first lecture will be on 24.10.2022 in Computer Science building room T4.

Special courses in spring 2023

CS-E4075  Special Course in Machine Learning, Data Science and Artificial Intelligence: Structured prediction (5 ECTS)

This course goes beyond the standard classification and regression settings of supervised machine learning, and introduces ways to predict structured data (e.g. strings, graphs..). The course spans two periods: the first part of the course consists of mandatory lectures, and the second the graded project work. There is no exam. The course is aimed at postgraduate level. Course assumes background knowledge in machine learning and statistics, notably CS-E4710 - Machine Learning: Supervised Methods and its prerequisites. Contents of CS-E4830 - Kernel Methods in Machine Learning are also recommended. MyCourses

Python for Scientific Computing

November 22-25, 2022, 10:00-13:00.

This short course discusses how Python can be utilized in scientific computing, and is especially relevant for data scientists or researchers using Python to do other scientific tasks. The course starts by introducing the main Python package for numerical computing, NumPy, and discusses then SciPy toolbox for various scientific computing tasks as well as visualization with the Matplotlib package. In addition, it talks about how python is used: related scientific libraries, reproducibility, and the broader ecosystem of science in Python.

This is a livestream course, anyone may attend and all recordings are available immediately for those who can't make every session. No credits are given from this course but it provides many tools and tips for scientific computing.

https://scicomp.aalto.fi/training/scip/python-for-scicomp-2022/

Please note also other instructions of scientific and data-intensive computing in Aalto: https://scicomp.aalto.fi/

Two job opportunities in CRAI-CIS research group

Hate Speech classification

The ongoing project, “Aggression and threat rhetoric targeting Muslims and the LGBT community” investigates identity-based hate speech in Finland. The project is run by the Finnish Institute for Health and Welfare (THL) and supported by Nordic Research Council for Criminology (NFSK). Part of this project, we are analyzing social media posts in Finnish language. We are looking for RAs to classify social media posts in different hate speech categories and sentiments.

We require native Finnish speakers because social media discussions are primarily based on spoken language. Annotators should be able to recognize common Finnish phrases, sarcasm, and emojis. The task requires 40 hours of annotation work, mainly reading and classifying texts. At the beginning, all annotators will be instructed and trained for the task. We will conduct a short demo (annotating the same texts) to compare our results, and then discuss disagreements to improve classification quality. After this stage, you will work at your own pace until completing dedicated hours.

Please send your applications to prof. Nitin Sawhney (nitin.sawhney@aalto.fi)

Misinformation classification

The ongoing project "Crisis Narratives," a multidisciplinary research consortium between Aalto University and the Finnish Institute for Health and Welfare (THL), investigates Covid-19-related narratives. Part of this project, we are analyzing social media posts in Finnish language. We are looking for RAs to classify tweets in different categories, basically what kind of misinformation types shared during COVID-19.

We require native Finnish speakers because social media discussions are primarily based on spoken language. Annotators should be able to recognize common Finnish phrases, sarcasm, and emojis. The task requires 40 hours of annotation work, mainly reading and classifying texts. At the beginning, all annotators will be instructed and trained for the task. We will conduct a short demo (annotating the same texts) to compare our results, and then discuss disagreements to improve classification quality. After this stage, you will work at your own pace until completing dedicated hours.

Please send your applications to prof. Nitin Sawhney (nitin.sawhney@aalto.fi)

Events

FCAI Industry and Society Webinar

Industry and Society Webinar: AI for Process Industry

Wednesday, 26 October at 9:00-11:00 in Zoom, please register

Tenured Professors' Installation Talks

Aalto University celebrates its tenured professors with popular talks by the new tenure track professors of Associate or Full level.

From Department of Computer Science, Petter Holme: How we shape our social networks, and how they shape us

Wednesday, 26 October at 14:15-17:00 in Lumituuli & Palaver, Dipoli

CRAI-CIS Seminar

Noura Howell: Toward an affirmative biopolitics: Reimagining biodata with feeling and fabulation

Wednesday, 26 October at 16:00 in T2, CS Building and Zoom. Register here

Seminar on Advances in Probabilistic Machine Learning

Adrián Javaloy, Saarland University: Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization

Thursday, 27 October at 15:00 in Zoom, please register for the seminar

MAGICS 2022: Be inspired by research!

Thursday, 27 October at 14:00-16:00 Hybrid Stage, Makerspace (K-floor) Harald Herlin Learning Centre & Online. Register here

HAIC talk: Current State of Applied Cryptography – Attacks, Standardization, Government Requirements, and Best Practices – with John Mattsson

This talk will explain how and why applied cryptography has evolved in recent years and how it will change with the introduction of post-quantum algorithms and key encapsulation mechanisms.

Monday, 31 October at 16:00-17:30 (coffee and buns served from 15:30), Lumituuli, Dipoli. The event is open to all and free of charge but please register to help estimate the amount of coffee ordered.

Creative Technologies

A new seminar series that brings researchers together from the fields of computational science, creative technologies, arts and design.

Thursday, 3 November at 9:00-11:00 Hybrid Stage, Makerspace (K-floor) Harald Herlin Learning Centre & Online, please register.

Aalto Talent Expo 2022

Aalto Talent Expo is a yearly recruitment event that brings together students and employers of arts, business, design and technology.

Thursday, 10 November 11:00-17:00 in Otahalli

AI Day 2022

AI Day is the biggest annual event highlighting the leading AI research in Finland bringing together researchers, companies, students and the public sector involved in the fast-developing field of AI. AI Day promotes matchmaking, information sharing, and cross-border collaboration.

Wednesday, 16 November in Dipoli

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DSc defences

Suhas Thejaswi Muniyappa: Scalable algorithm designs for mining massive datasets

Opponent: Dr. Senior Lecturer Othon Michail, University of Liverpool, England

Custos: Professor Aristides Gionis

Friday, 21 October at 12:15 in T2, Computer Science building

Viivi Halla-aho: Probabilistic modeling of DNA methylation sequencing data

Opponent: Professor Jan Komorowski, Uppsala University, Sweden

Custos: Professor Harri Lähdesmäki

Friday, 8 November at 12:00 in AS1, Maarintie 8

Abheeshta Putta: Adopting Agile Methods in Large-scale Organizations using Scaling Frameworks

Opponent: Associate Professor Xiaofeng Wang, Free University of Bozen-Bolzano, Italy

Custos: Professor Casper Lassenius

Friday, 18 November at 12:00 in U1,Undergraduate Centre

Zheyang Shen: Strengthening nonparametric Bayesian methods with structured kernels

Opponent: Professor Chris Oates, Newcastle University / Alan Turing Institute, England
Custos: Professor Samuel Kaski
Tuesday, 22 November at 10:00 in R003/F239a, Otakaari 3

Vesa Kuikka: Modelling Influence Spreading on Complex Networks

Opponent: Professor Martin Rosvall, Umeå university, Sweden
Custos: Professor (emer.) Kimmo Kaski
Tuesday, 22 November at 12:00 in 240 L2, Vuorimiehentie 1

Joel Jaskari: Machine Learning for Healthcare

Opponent: Professor Chris Holmes, University of Oxford / Alan Turing Institute, UK
Custos: Assistant Professori Arno Solin
Wednesday, 23 November at 12:00 in Circular Raw Materials Hub, Vuorimiehentie 3

News highlights

Russell Lai is at the vanguard of cryptography

Aalto University’s new Assistant Professor Russell Lai is a cryptography researcher, who wants to bring the fruits of his academic work to the use of everyday citizens, without sacrificing robustness.

An AI model reveals how the body’s defence system recognises skin cancer

The artificial intelligence model could be utilized to enable more effective care for skin cancer patients and could lead to similar breakthroughs in the diagnosis and treatment of other cancers.

Award-winning teams work together

Aalto Pioneering Excellence Award was granted to the Finnish Centre for Artificial Intelligence (FCAI) and the leadership education team of the Department of Industrial Engineering and Management. Aalto Science Institute (AScI) received an honourable mention.

FCAI and Bitville collaborate to make learning easier with AI

Academy–industry collaboration can be a real win-win. In FCAI's new video series, we present successful collaborations. The third video in the series highlights collaboration between FCAI and digital learning company Bitville.

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The next Tuutti will be published on 17 November.

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