International Association
for Cryptologic Research

This paper studies Batch Private Information Retrieval (BatchPIR), a variant of private information retrieval (PIR) where the client wants to retrieve multiple entries from the server in one batch. BatchPIR matches the use case of many practical applications and holds the potential for substantial efficiency improvements over PIR in terms of amortized cost per query. Existing BatchPIR schemes have achieved decent computation efficiency but have not been able to improve communication efficiency at all. In this paper, we present the first BatchPIR protocol that is efficient in both computation and communication for a variety of database configurations. Specifically, to retrieve a batch of 256 entries from a database with one million entries of 256 bytes each, the communication cost of our scheme is 7.2$\sim$75x better than state-of-the-art solutions.

We investigate the relationship between the classical RSA and factoring problems when preprocessing is considered. In such a model, adversaries can use an unbounded amount of precomputation to produce an "advice" string to then use during the online phase, when a problem instance becomes known. Previous work (e.g., [Bernstein, Lange ASIACRYPT '13]) has shown that preprocessing attacks significantly improve the runtime of the best-known factoring algorithms. Due to these improvements, we ask whether the relationship between factoring and RSA fundamentally changes when preprocessing is allowed. Specifically, we investigate whether there is a superpolynomial gap between the runtime of the best attack on RSA with preprocessing and on factoring with preprocessing.

Our main result rules this out with respect to algorithms in a natural adaptation of the generic ring model to the preprocessing setting. In particular, in this setting we show the existence of a factoring algorithm (albeit in the random oracle model) with polynomially related parameters, for any setting of RSA parameters.

We provide a strong definition for committing authenticated-encryption (cAE), as well as a framework that encompasses earlier and weaker definitions. The framework attends not only to what is committed but also the extent to which the adversary knows or controls keys. We slot into our framework strengthened cAE-attacks on GCM and OCB. Our main result is a simple and efficient construction, CTX, that makes a nonce-based AE (nAE) scheme committing. The transformed scheme achieves the strongest security notion in our framework. Just the same, the added computational cost (on top of the nAE scheme's cost) is a single hash over a short string, a cost independent of the plaintext's length. And there is no increase in ciphertext length compared to the base nAE scheme. That such a thing is possible, let alone easy, upends the (incorrect) intuition that you can't commit to a plaintext or ciphertext without hashing one or the other. And it motivates a simple and practical tweak to AE-schemes to make them committing.

We address three main open problems concerning the use of radical isogenies, as presented by Castryck, Decru and Vercauteren at Asiacrypt 2020, in the computation of long chains of isogenies of fixed, small degree between elliptic curves over finite fields. Firstly, we present an interpolation method for finding radical isogeny formulae in a given degree $N$, which by-passes the need for factoring division polynomials over large function fields. Using this method, we are able to push the range for which we have formulae at our disposal from $N \leq 13$ to $N \leq 37$ (where in the range $18 \leq N \leq 37$ we have restricted our attention to prime powers). Secondly, using a combination of known techniques and ad-hoc manipulations, we derive optimized versions of these formulae for $N \leq 19$, with some instances performing more than twice as fast as their counterparts from 2020. Thirdly, we solve the problem of understanding the correct choice of radical when walking along the surface between supersingular elliptic curves over $\mathbb{F}_p$ with $p \equiv 7 \bmod 8$; this is non-trivial for even $N$ and was settled for $N = 2$ and $N = 4$ only, in the latter case by Onuki and Moriya at PKC 2022. We give a conjectural statement for all even $N$ and prove it for $N \leq 14$. The speed-ups obtained from these techniques are substantial: using $16$-isogenies, the computation of long chains of $2$-isogenies over $512$-bit prime fields can be accelerated by a factor $3$, and the previous implementation of CSIDH using radical isogenies can be sped up by about $12\%$.

We define the security notion of (strong) collision resistance for chameleon hash functions in the multi-user setting ((S-)MU-CR security). We also present three constructions, CHF_dl, CHF_rsa and CHF_fac, and prove their tight S-MU-CR security based on the discrete logarithm, RSA and factoring assumptions, respectively. In applications, our tightly S-MU-CR secure chameleon hash functions help us to lift a signature scheme from (weak) unforgeability to strong unforgeability in the multi-user setting, and the security reduction is tightness preserving. Furthermore, they can also be used to construct tightly secure online/offline signatures, chameleon signatures and proxy signatures, etc., in the multi-user setting.

One-time programs, originally formulated by Goldwasser et al. [CRYPTO'08], are a powerful cryptographic primitive with compelling applications. Known solutions for one-time programs, however, require specialized secure hardware that is not widely available (or, alternatively, access to blockchains and very strong cryptographic tools).

In this work we investigate the possibility of realizing one-time programs from a recent and now more commonly available hardware functionality: the counter lockbox. A counter lockbox is a stateful functionality that protects an encryption key under a user-specified password, and enforces a limited number of incorrect guesses. Counter lockboxes have become widely available in consumer devices and cloud platforms.

We show that counter lockboxes can be used to realize one-time programs for general functionalities. We develop a number of techniques to reduce the number of counter lockboxes required for our constructions, that may be of independent interest.

Homomorphic encryption (HE) has opened an entirely new world up in the privacy-preserving use of sensitive data by conducting computations on encrypted data. Amongst many HE schemes targeting computation in various contexts, Cheon--Kim--Kim--Song (CKKS) scheme is distinguished since it allows computations for encrypted real number data, which have greater impact in real-world applications.

CKKS scheme is a levelled homomorphic encryption scheme, consuming one level for each homomorphic multiplication. When the level runs out, a special computational circuit called bootstrapping is required in order to conduct further multiplications. The algorithm proposed by Cheon et al. has been regarded as a standard way to do bootstrapping in the CKKS scheme, and it consists of the following four steps: ModRaise, CoeffToSlot, EvalMod and SlotToCoeff. However, the steps consume a number of levels themselves, and thus optimizing this extra consumption has been a major focus of the series of recent research.

Among the total levels consumed in the bootstrapping steps, about a half of them is spent in CoeffToSlot and SlotToCoeff steps to scale up the real number components of DFT matrices and round them to the nearest integers. Each scale-up factor is very large so that it takes up one level to rescale it down. Scale-up factors can be taken smaller to save levels, but the error of rounding would be transmitted to EvalMod and eventually corrupt the accuracy of bootstrapping.

EvalMod aims to get rid of the superfluous $qI$ term from a plaintext $pt + qI$ resulting from ModRaise, where $q$ is the bottom modulus and $I$ is a polynomial with small integer coefficients. EvalRound is referred to as its opposite, obtaining $qI$. We introduce a novel bootstrapping algorithm consisting of ModRaise, CoeffToSlot, EvalRound and SlotToCoeff, which yields taking smaller scale-up factors without the damage of rounding errors.

ZK-SNARKs (Zero Knowledge Succinct Noninteractive ARguments of Knowledge) are one of the most promising new applied cryptography tools: proofs allow anyone to prove a property about some data, without revealing that data. Largely spurred by the adoption of cryptographic primitives in blockchain systems, ZK-SNARKs are rapidly becoming computationally practical in real-world settings, shown by i.e. tornado.cash and rollups. These have enabled ideation for new identity applications based on anonymous proof-of-ownership. One of the primary technologies that would enable the jump from existing apps to such systems is the development of deterministic nullifiers.

Nullifiers are used as a public commitment to a specific anonymous account, to forbid actions like double spending, or allow a consistent identity between anonymous actions. We identify a new deterministic signature algorithm that both uniquely identifies the keypair, and keeps the account identity secret. In this work, we will define the full DDH-VRF construction, and prove uniqueness, secrecy, and existential unforgeability. We will also demonstrate a proof of concept of the nullifier.

The Montgomery Ladder is widely used for implementing the scalar multiplication in elliptic curve cryptographic designs. This algorithm is efficient and provides a natural robustness against (simple) side-channel attacks. Previous works however showed that implementations of the Montgomery Ladder using Lopez-Dahab projective coordinates easily leak the value of the most significant bits of the secret scalar, which led to a full key recovery in an attack known as LadderLeak. In light of such leakage, we analyse further popular methods for implementing the Montgomery Ladder. We first consider open source software implementations of the X25519 protocol which implement the Montgomery Ladder based on the ladderstep algorithm from Düll et al. [15]. We confirm via power measurements that these implementations also easily leak the most significant scalar bits, even when implementing Z-coordinate ran- domisations. We thus propose simple modifications of the algorithm and its handling of the most significant bits and show the effectiveness of our modifications via experimental results. Particularly, our re-designs of the algorithm do not incurring significant efficiency penalties. As a second case study, we consider open source hardware implementations of the Montgomery Ladder based on the complete addition formulas for prime order elliptic curves, where we observe the exact same leakage. As we explain, the most significant bits in implementations of the complete addition formulas can be protected in an analogous way as we do for Curve25519 in our first case study.

Incompressibility is one of the most fundamental security goals in white-box cryptography. Given recent advances in the design of efficient and incompressible block ciphers such as SPACE, SPNbox and WhiteBlock, we demonstrate the feasibility of reducing incompressible AEAD modes to incompressible block ciphers. We first observe that several existing AEAD modes of operation, including CCM, GCM(-SIV), and OCB, would be all insecure against white-box adversaries even when used with an incompressble block cipher. This motivates us to revisit and formalize incompressibility-based security definitions for AEAD schemes and for block ciphers, so that we become able to design modes and reduce their security to that of the underlying ciphers. Our new security notion for AEAD, which we name whPRI, is an extension of the pseudo-random injection security in the black-box setting. Similar security notions are also defined for other cryptosystems such as privacy-only encryption schemes. We emphasize that whPRI ensures quite strong authenticity against white-box adversaries: existential unforgeability beyond leakage. This contrasts sharply with previous notions which have ensured either no authenticity or only universal unforgeability. For the underlying ciphers we introduce a new notion of whPRP, which extends that of PRP in the black-box setting. Interestingly, our incompressibility reductions follow from a variant of public indifferentiability. In particular, we show that a practical whPRI-secure AEAD mode can be built from a whPRP-secure block cipher: We present a SIV-like composition of the sponge construction (utilizing a block cipher as its underlying primitive) with the counter mode and prove that such a construction is (in the variant sense) public indifferentiable from a random injection. To instantiate such an AEAD scheme, we propose a 256-bit variant of SPACE, based on our conjecture that SPACE should be a whPRP-secure cipher.

Secure software leasing is a quantum cryptographic primitive that enables us to lease software to a user by encoding it into a quantum state. Secure software leasing has a mechanism that verifies whether a returned software is valid or not. The security notion guarantees that once a user returns a software in a valid form, the user no longer uses the software.

In this work, we introduce the notion of secret-key functional encryption (SKFE) with secure key leasing, where a decryption key can be securely leased in the sense of secure software leasing. We also instantiate it with standard cryptographic assumptions. More specifically, our contribution is as follows.

- We define the syntax and security definitions for SKFE with secure key leasing. - We achieve a transformation from standard SKFE into SKFE with secure key leasing without using additional assumptions. Especially, we obtain bounded collusion-resistant SKFE for $\mathsf{P/poly}$ with secure key leasing based on post-quantum one-way functions since we can instantiate bounded collusion-resistant SKFE for $\mathsf{P/poly}$ with the assumption.

Some previous secure software leasing schemes capture only pirate software that runs on an honest evaluation algorithm (on a legitimate platform). However, our secure key leasing notion captures arbitrary attack strategies and does not have such a limitation.

As an additional contribution, we introduce the notion of single-decryptor FE (SDFE), where each functional decryption key is copy-protected. Since copy-protection is a stronger primitive than secure software leasing, this notion can be seen as a stronger cryptographic primitive than FE with secure key leasing. More specifically, our additional contribution is as follows.

- We define the syntax and security definitions for SDFE. - We achieve collusion-resistant single-decryptor PKFE for $\mathsf{P/poly}$ from post-quantum indistinguishability obfuscation and quantum hardness of the learning with errors problem.

We propose Flashproofs, a new type of efficient special honest verifier zero-knowledge arguments with a transparent setup in the discrete logarithm (DL) setting. First, we put forth gas-efficient range arguments that achieve $O(N^{\frac{2}{3}})$ communication cost, and involve $O(N^{\frac{2}{3}})$ group exponentiations for verification and a slightly sub-linear number of group exponentiations for proving with respect to the range $[0, 2^N-1]$, where $N$ is the bit length of the range. For typical confidential transactions on blockchain platforms supporting smart contracts, verifying our range arguments consumes only 237K and 318K gas for 32-bit and 64-bit ranges, which are comparable to 220K gas incurred by verifying the most efficient zkSNARK with a trusted setup (EUROCRYPT 16) at present. Besides, the aggregation of multiple arguments can yield further efficiency improvement. Second, we present polynomial evaluation arguments based on the techniques of Bayer & Groth (EUROCRYPT 13). We provide two zero-knowledge arguments, which are optimised for lower-degree ($D \in [3, 2^9]$) and higher-degree ($D > 2^9$) polynomials, where $D$ is the polynomial degree. Our arguments yield a non-trivial improvement in the overall efficiency. Notably, the number of group exponentiations for proving drops from $8\log D$ to $3(\log D+\sqrt{\log D})$. The communication cost and the number of group exponentiations for verification decrease from $7\log D$ to $(\log D + 3\sqrt{\log D})$. To the best of our knowledge, our arguments instantiate the most communication-efficient arguments of membership and non-membership in the DL setting among those not requiring trusted setups. More importantly, our techniques enable a significantly asymptotic improvement in the efficiency of communication and verification (group exponentiations) from $O(\log D)$ to $O(\sqrt{\log D})$ when multiple arguments satisfying different polynomials with the same degree and inputs are aggregated.

Differential Privacy (DP) is one of the gold standards of privacy. Nonetheless, when one is interested in mechanisms with theoretical guarantees, one has to either choose from a relatively small pallet of generic mechanisms, like Laplacian, Gaussian, and exponential, or develop a new, problem-specific mechanism and analyze its privacy. This makes it challenging for non-experts in security to utilize DP for preserving privacy in complex tasks in areas like machine learning, data science, and medicine, which are primary application domains of DP.

Our work aims to address the above limitation. In a nutshell we devise a methodology for domain experts with limited knowledge of security to estimate the (differential) privacy of an arbitrary mechanism. Our Eureka moment is the utilization of a link---which we prove---between the problems of DP parameter-estimation and Bayes optimal classifiers in machine learning, which we believe can be of independent interest. Our estimator methodology uses this link to achieve two desirable properties: (1) it is black-box, i.e., does not require knowledge of the underlying mechanism, and (2) it has a theoretically-proven accuracy, which depends on the underlying classifier used. This allows domain experts to design mechanisms that they conjecture offer certain (differential) privacy guarantees---but maybe cannot prove it---and apply our method to confirm (or disprove) their conjecture.

More concretely, we first prove a new impossibility result, stating that for the classical DP notion there is no black-box poly-time estimator of $(\epsilon,\delta)$-DP. This motivates a natural relaxation of DP, which we term relative DP. Relative DP preserves the desirable properties of DP---composition, robustness to post processing, and robustness to the discovery disclosure of new data---and applies in most practical settings where privacy is desired. We then devise a black-box poly-time $(\epsilon,\delta)$-relative DP estimator---the first to support mechanisms with large output spaces while having tight accuracy bounds. As a result of independent interest, we apply this theory to develop the first approximate estimator for the standard, i.e., non-relative, definition of Distributional Differential Privacy (DDP) -- aka noiseless privacy.

To demonstrate both our theory and its potential for practical impact, we devised a proof-of-concept implementation of our estimator and benchmarked it against well-studied DP mechanisms. We show that in reasonable execution time our estimator can reproduce the tight, analytically computed $\epsilon, \delta$ trade-off of Laplacian and Gaussian mechanisms---to our knowledge, the first black box estimator to do so, and for the Sparse Vector Technique, our outputs are comparable to that of a more specialized state-of-the-art $(\epsilon, \delta)$-DP estimator.

Lyubashevsky’s signatures are based on the Fiat-Shamir with aborts paradigm, whose central ingredient is the use of rejection sampling to transform secret-dependent signature samples into samples from (or close to) a secret-independent target distribution. Several choices for the underlying distributions and for the rejection sampling strategy can be considered. In this work, we study Lyubashevsky’s signatures through the lens of rejection sampling, and aim to minimize signature size given signing runtime requirements. Several of our results concern rejection sampling itself and could have other applications. We prove lower bounds for compactness of signatures given signing run- time requirements, and for expected runtime of perfect rejection sampling strategies. We also propose a Rényi-divergence-based analysis of Lyuba- shevsky’s signatures which allows for larger deviations from the target distribution, and show hyperball uniforms to be a good choice of distri- butions: they asymptotically reach our compactness lower bounds and offer interesting features for practical deployment. Finally, we propose a different rejection sampling strategy which circumvents the expected runtime lower bound and provides a worst-case runtime guarantee.

The task of achieving full security (with guaranteed output delivery) in secure multiparty computation (MPC) is a long-studied problem. Known impossibility results (Cleve, STOC 86) rule out general solutions in the dishonest majority setting. In this work, we consider solutions that use an external trusted party (TP) to bypass the impossibility results, and study the minimal requirements needed from this trusted party. In particular, we restrict ourselves to the extreme setting where the size of the TP is independent of the size of the functionality to be computed (called “small” TP) and this TP is invoked only once during the protocol execution. We present several positive and negative results for fully-secure MPC in this setting.

-- For a natural class of protocols, specifically, those with a universal output decoder, we show that the size of the TP must necessarily be exponential in the number of parties. This result holds irrespective of the computational assumptions used in the protocol. The class of protocols to which our lower bound applies is broad enough to capture prior results in the area, implying that the prior techniques necessitate the use of an exponential-sized TP. We additionally rule out the possibility of achieving information-theoretic full security (without the restriction of using a universal output decoder) using a “small” TP in the plain model (i.e., without any setup).

-- In order to get around the above negative result, we consider protocols without a universal output decoder. The main positive result in our work is a construction of such a fully-secure MPC protocol assuming the existence of a succinct Functional Encryption scheme. We also give evidence that such an assumption is likely to be necessary for fully-secure MPC in certain restricted settings.

-- Finally, we explore the possibility of achieving full-security with a semi-honest TP that could collude with other malicious parties (which form a dishonest majority). In this setting, we show that even fairness is impossible to achieve regardless of the “small TP” requirement.

Deep neural networks (DNN) have become a significant threat to the security of cryptographic implementations with regards to side-channel analysis (SCA), as they automatically combine the leakages without any preprocessing needed, leading to a more efficient attack. However, these DNNs for SCA remain mostly black-box algorithms that are very difficult to interpret. Benamira \textit{et al.} recently proposed an interpretable neural network called Truth Table Deep Convolutional Neural Network (TT-DCNN), which is both expressive and easier to interpret. In particular, a TT-DCNN has a transparent inner structure that can entirely be transformed into SAT equations after training. In this work, we analyze the SAT equations extracted from a TT-DCNN when applied in SCA context, eventually obtaining the rules and decisions that the neural networks learned when retrieving the secret key from the cryptographic primitive (i.e., exact formula). As a result, we can pinpoint the critical rules that the neural network uses to locate the exact Points of Interest (PoIs). We validate our approach first on simulated traces for higher-order masking. However, applying TT-DCNN on real traces is not straightforward. We propose a method to adapt TT-DCNN for application on real SCA traces containing thousands of sample points. Experimental validation is performed on software-based ASCADv1 and hardware-based AES\_HD\_ext datasets. In addition, TT-DCNN is shown to be able to learn the exact countermeasure in a best-case setting.

We are looking for a bright and motivated PhD student to work in the topics of information security and cryptography.

The student is expected to work on topics that include security and privacy issues in biometric authentication. More precisely, the student will be working on investigating efficient and privacy-preserving authentication that provides: i) provable security guarantees, and ii) rigorous privacy guarantees.

Key Responsibilities:

• Perform exciting and challenging research in the domain of information security and cryptography.
• Support and assist in teaching computer security and cryptography courses.

Profile:

• The PhD student is expected to have a MSc degree or equivalent, and strong background in cryptography, network security and mathematics.
• Experience in one or more domains such as cryptography, design of protocols, secure multi-party computation and differential privacy is beneficial.
• Excellent programming skills.
• Excellent written and verbal communication skills in English

The Chair of Cyber Security, https://cybersecurity.unisg.ch/, is a part of the Institute of Computer Science (ICS) at the University of St.Gallen. The chair was established in autumn semester 2020 and is led by Prof. Dr. Katerina Mitrokotsa. Our research interests are centered around information security and applied cryptography, with the larger goal of safeguarding communications and providing strong privacy guarantees. We are currently active in multiple areas including the design of provably secure cryptographic protocols and cryptographic primitives that can be employed for reliable authentication, outsourcing computations in cloud-assisted settings, network security problems as well as secure and privacy-preserving machine learning. As a doctoral student you will be a part of the Doctoral School of Computer Science (DCS), https://dcs.unisg.ch.

Please apply by 15th October 2022.

Closing date for applications:

Contact:
Eriane Breu, eriane.breu@unisg.ch (Administrative matters)
Prof. Katerina Mitrokotsa, katerina.mitrokotsa@unisg.ch (Research related questions)

Responsibilities:

Analyzing various crypto algorithms and protocols to detect vulnerabilities

Conduct analysis of cryptographic data

Investigate, research, and test new cryptology theories and applications

Any other tasks as assigned

Eligibility:

Undergraduate degree in mathematics/statistics/computer science

Strong understanding of cryptography

Desirable:

Proficiency in translating client requirements into technical problem statements

Strong programming skills, particularly in C/C++ and Python, with motivation to implement complex algorithms in code

Travel:

An employee must travel across the country for project execution, monitoring, and coordination with geographically distributed teams per the assigned responsibilities

Closing date for applications:

Contact: Submissions are accepted only through an email to Professor Manindra Agrawal (manindra@cse.iitk.ac.in), Director, C3iHub, IIT Kanpur.

More information: https://www.linkedin.com/jobs/view/cryptanalyst-at-c3i-hub-3243352185/?originalSubdomain=in

The Okinawa Institute of Science and Technology (OIST) is a dynamic and growing graduate university in Japan. We are inviting applications for tenure-track and tenured faculty positions in the areas of Quantum Information Science and Quantum Technology, Applied Cryptography and Cyber Security.

Successful candidates will have an opportunity to join our vibrant, collaborative, interdisciplinary research community. They will:

• establish and run an active independent Research Unit with generous internal funding, including funds for several research staff;
• supervise and mentor PhD students, develop and teach graduate courses, and actively contribute to university services;
• receive access to cutting-edge core research facilities, including imaging, sequencing, instrumentation, nanofabrication, and high-performance computing, with dedicated support staff;
• enjoy a competitive remuneration package with additional benefits, such as housing allowance.

OIST is actively seeking applications from women and underrepresented groups.

Deadline for applications: 30 Nov 2022 at 12:59 PM JST.

About OIST

OIST is a dynamic and growing graduate university in Japan, offering a world-class research environment and opportunities for cross-disciplinary research. We have no departments, and we currently have 89 Research Units. English is the official language of the university, and the research community is fully international, with more than 50 countries represented. The campus is located on 85 hectares of protected forestland overlooking beautiful shorelines and coral reefs in subtropical Okinawa, Japan. To learn more about OIST, visit www.oist.jp

Closing date for applications:

Contact: Dr. Milind Purohit, Dean of Faculty Affairs (faculty-recruiting at oist.jp)

More information: https://groups.oist.jp/facultypositions

The Department of Computer Science at the National University of Singapore (NUS) invites applications for a tenure-track faculty position in cryptography, both applied and theoretical. The Department enjoys ample research funding, moderate teaching loads, excellent facilities, and extensive international collaborations. We have a full range of faculty covering all major research areas in computer science, as well as excellent centres in allied scientific areas such as in quantum computing. NUS Computing is home to a thriving PhD program that attracts the brightest students from the region and beyond. The CS department highlights can be found in the URL below. NUS is an equal opportunity employer that offers highly competitive salaries, and is situated in Singapore, an English-speaking cosmopolitan city that is a melting pot of many cultures, both the east and the west. Singapore offers high-quality education and healthcare at all levels, as well as very low tax rates. We seek tenure-track faculty candidates at all levels. Candidates for Assistant Professor positions should demonstrate excellent research potential and a strong commitment to teaching. Truly outstanding Assistant Professor applicants will also be considered for the Presidential Young Professorship. Candidates for tenured Associate Professor or full Professor should demonstrate excellent track records in research, teaching, and thought leadership. Application Details: • Submit the following documents (in a single PDF) online via: https://faces.comp.nus.edu.sg • A cover letter that indicates the position applied for and the main research interests • Curriculum Vitae • A teaching statement • A research statement Please reach out to the faculty search committee chair Prof. Joxan Jaffar (joxan@comp.nus.edu.sg) or to the head, Prof. Lee Wee Sun (leews@comp.nus.edu.sg). Provide the contact information of 3 referees when submitting your online application, or, arrange for at least 3 references to be sent directly to csrec@comp.nus.edu.sg. Job requirement: A PhD degree in Computer Science or related areas.

Closing date for applications:

Contact: Faculty search committee chair Prof. Joxan Jaffar (joxan@comp.nus.edu.sg) Head, Prof. Lee Wee Sun (leews@comp.nus.edu.sg)

More information: https://www.comp.nus.edu.sg/images/resources/content/dept-compscience/20210923_DCS_Poster_v4.pdf